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Published online by Cambridge University Press:  05 June 2015

Bing Liu
Affiliation:
University of Illinois, Urbana-Champaign
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Chapter
Information
Sentiment Analysis
Mining Opinions, Sentiments, and Emotions
, pp. 327 - 362
Publisher: Cambridge University Press
Print publication year: 2015

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References

Aarts, Bas.Oxford Modern English Grammar. 2011: Oxford University Press.Google Scholar
Abbasi, Ahmed, Chen, Hsinchun, and Salem, Arab. Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums. ACM Transactions on Information Systems, 2008. 26(3): 1–34.CrossRefGoogle Scholar
Abdul-Mageed, Muhammad, Diab, Mona T., and Korayem, Mohammed. Subjectivity and Sentiment Analysis of Modern Standard Arabic. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011): Short Papers. 2011.
Abu-Jbara, Amjad, Dasigi, Pradeep, Diab, Mona, and Radev, Dragomir. Subgroup Detection in Ideological Discussions. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-2012). 2012.
Abu-Jbara, Amjad, King, Ben, Diab, Mona, and Radev, Dragomir. Identifying Opinion Subgroups in Arabic Online Discussions. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Agrawal, Rakesh, Rajagopalan, Sridhar, Srikant, Ramakrishnan, and Xu, Yirong. Mining Newsgroups Using Networks Arising from Social Behavior. In Proceedings of International World Wide Web Conference (WWW-2003). 2003.
Agrawal, Rakesh and Srikant, Ramakrishnan. Fast Algorithms for Mining Association Rules. In Proceedings of VLDB. 1994.
Akkaya, Cem, Wiebe, Janyce, and Mihalcea, Rada. Subjectivity Word Sense Disambiguation. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-2009). 2009.
Akoglu, Leman, Chandy, Rishi, and Faloutsos, Christos. Opinion Fraud Detection in Online Reviews by Network Effects. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM–2013). 2013.
Alm, CeciliaOvesdotter, Dan Roth, and Sproat, Richard. Emotions from Text: Machine Learning for Text-Based Emotion Prediction. In Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT/EMPNLP-2005). 2005.
Alm, EbbaOvesdotter, Cecilia. Affect in Text and Speech. 2008, PhD Thesis, University of Illinois at Urbana-Champaign.Google Scholar
Almuhareb, Abdulrahman. Attributes in Lexical Acquisition. 2006: PhD Thesis, University of Essex.Google Scholar
Aly, Mohamed and Atiya, Amir. Labr: A Large Scale Arabic Book Reviews Dataset. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Aman, Saima and Szpakowicz, Stan. Identifying Expressions of Emotion in Text. Text, Speech and Dialogue, 2007.
Andreevskaia, Alina and Bergler, Sabine. Mining Wordnet for Fuzzy Sentiment: Sentiment Tag Extraction from Wordnet Glosses. In Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL-2006). 2006.
Andreevskaia, Alina and Bergler, Sabine. When Specialists and Generalists Work Together: Overcoming Domain Dependence in Sentiment Tagging. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2008). 2008.
Andrzejewski, David and Buttler, David. Latent Topic Feedback for Information Retrieval. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011). 2011.
Andrzejewski, David and Zhu, Xiaojin. Latent Dirichlet Allocation with Topic-in-Set Knowledge. In Proceedings of NAACL HLT. 2009.
Andrzejewski, David, Zhu, Xiaojin, and Craven, Mark. A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI-2011). 2011.
Andrzejewski, David, Zhu, Xiaojin, and Craven, Mark. Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors. In Proceedings of ICML. 2009.
Archak, Nikolay, Ghose, Anindya, and Ipeirotis, Panagiotis G.. Show Me the Money! Deriving the Pricing Power of Product Features by Mining Consumer Reviews. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2007). 2007.
Argamon, Shlomo and Levitan, Shlomo. Measuring the Usefulness of Function Words for Authorship Attribution. In Proceedings of the 2005 ACH/ALLC Conference. 2005.
Arguello, Jaime, Diaz, Fernando, Callan, Jamie, and Jean-Francois Crespo. Sources of Evidence for Vertical Selection. In Proceedings of the 32st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2009). 2009.
Arnold, Magda B.Emotion and Personality. 1960: Columbia University Press.Google Scholar
Asher, Nicholas, Benamara, Farah, and Mathieu, Yvette Yannick. Distilling Opinion in Discourse: A Preliminary Study. In Proceedings of the International Conference on Computational Linguistics (COLING-2008): Companion volume: Posters and Demonstrations. 2008.
Asher, Nicholas, Benamara, Farah, and Mathieu, Yvette Yannick. Appraisal of Opinion Expressions in Discourse. Lingvisticæ Investigationes, 2009. 32(1): 279–92.Google Scholar
Asur, Sitaram and Huberman, Bernardo A.. Predicting the Future with Social Media. ArXiv:1003.5699, 2010.
Aue, Anthony and Gamon, Michael. Customizing Sentiment Classifiers to New Domains: A Case Study. In Proceedings of Recent Advances in Natural Language Processing (RANLP-2005). 2005.
Banea, Carmen, Mihalcea, Rada, and Wiebe, Janyce. Multilingual Subjectivity: Are More Languages Better? In Proceedings of the International Conference on Computational Linguistics (COLING-2010). 2010.
Banea, Carmen, Mihalcea, Rada, Wiebe, Janyce, and Hassan, Samer. Multilingual Subjectivity Analysis Using Machine Translation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2008). 2008.
Bar-Haim, Roy, Dinur, Elad, Feldman, Ronen, Fresko, Moshe, and Goldstein, Guy. Identifying and Following Expert Investors in Stock Microblogs. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Barbosa, Luciano and Feng, Junlan. Robust Sentiment Detection on Twitter from Biased and Noisy Data. In Proceedings of the International Conference on Computational Linguistics (COLING-2010). 2010.
Batson, C. Daniel, Shaw, Laura L., and Oleson, Kathryn C.. Differentiating Affect, Mood, and Emotion: Toward Functionally Based Conceptual Distinctions. Review of Personality and Social Psychology, 1992. No. 13: 294–326.Google Scholar
Bautin, Mikhail, Vijayarenu, Lohit, and Skiena, Steven. International Sentiment Analysis for News and Blogs. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM-2008). 2008.
Becker, Israela and Aharonson, Vered. Last but Definitely Not Least: On the Role of the Last Sentence in Automatic Polarity-Classification. In Proceedings of the ACL 2010 Conference Short Papers. 2010.
Beineke, Philip, Hastie, Trevor, Christopher Manning, and Shivakumar Vaithyanathan. An Exploration of Sentiment Summarization. In Proceedings of AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications. 2003.
Benamara, Farah, Chardon, Baptiste, Mathieu, Yannick, and Popescu, Vladimir. Towards Context-Based Subjectivity Analysis. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP-2011). 2011.
Bermingham, Adam and Smeaton, Alan F.. On Using Twitter to Monitor Political Sentiment and Predict Election Results. In Proceedings of the Workshop on Sentiment Analysis Where AI Meets Psychology. 2011.
Bespalov, Dmitriy, Bai, Bing, Qi, Yanjun, and Shokoufandeh, Ali. Sentiment Classification Based on Supervised Latent N-Gram Analysis. In Proceeding of the ACM Conference on Information and Knowledge Management (CIKM-2011). 2011.
Bethard, Steven, Yu, Hong, Thornton, Ashley, Vasileios Hatzivassiloglou, and Dan Jurafsky. Automatic Extraction of Opinion Propositions and Their Holders. In Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text. 2004.
Bickerstaffe, A. and Zukerman, I.. A Hierarchical Classifier Applied to Multi-Way Sentiment Detection. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Bilgic, Mustafa, Namata, Galileo Mark, and Getoor, Lise. Combining Collective Classification and Link Prediction. In Proceedings of Workshop on Mining Graphs and Complex Structures. 2007.
Bishop, C. M.Pattern Recognition and Machine Learning. 2006: Springer.Google Scholar
Blair-Goldensohn, Sasha, Hannan, Kerry, McDonald, Ryan, Neylon, Tyler, Reis, George A., and Reynar, Jeff. Building a Sentiment Summarizer for Local Service Reviews. In Proceedings of WWW-2008 Workshop on NLP in the Information Explosion Era. 2008.
Blei, David M. and Lafferty, John D., Visualizing Topics with Multi-Word Expressions. ArXiv:0907.1013, 2009.
Blei, David M. and McAuliffe, Jon D.. Supervised Topic Models. In Proceedings of NIPS. 2007.
Blei, David M., Ng, Andrew Y., and Jordan, Michael I.. Latent Dirichlet Allocation. The Journal of Machine Learning Research, 2003. 3: 993–1022.Google Scholar
Blitzer, John, Dredze, Mark, and Pereira, Fernando. Biographies, Bollywood, Boom-Boxes and Blenders: Domain Adaptation for Sentiment Classification. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2007). 2007.
Blitzer, John, McDonald, Ryan, and Pereira, Fernando. Domain Adaptation with Structural Correspondence Learning. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). 2006.
Blum, Avrim and Chawla, Shuchi. Learning from Labeled and Unlabeled Data Using Graph Mincuts. In Proceedings of International Conference on Machine Learning (ICML-2001). 2001.
Blum, Avrim, Lafferty, John, Rwebangira, Mugizi R., and Reddy, Rajashekar. Semi-Supervised Learning Using Randomized Mincuts. In Proceedings of International Conference on Machine Learning (ICML-2004). 2004.
Boiy, Erik and Moens, Marie-Francine. A Machine Learning Approach to Sentiment Analysis in Multilingual Web Texts. Information Retrieval, 2009. 12(5): 526–58.CrossRefGoogle Scholar
Bollegala, Danushka, Weir, David, and Carroll, John. Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Bollen, Johan, Mao, Huina, and Zeng, Xiao-Jun. Twitter Mood Predicts the Stock Market. Journal of Computational Science, 2011. 2(1), 1–8.CrossRefGoogle Scholar
Boyd-Graber, Jordan and Resnik, Philip. Holistic Sentiment Analysis across Languages: Multilingual Supervised Latent Dirichlet Allocation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010.
Boyer, Kristy Elizabeth, Grafsgaard, Joseph, Ha, Eun Young, Phillips, Robert, and Lester, James. An Affect-Enriched Dialogue Act Classification Model for Task-Oriented Dialogue. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Branavan, S. R. K., Chen, Harr, Eisenstein, Jacob, and Barzilay, Regina. Learning Document-Level Semantic Properties from Free-Text Annotations. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2008). 2008.
Breck, Eric, Choi, Yejin, and Cardie, Claire. Identifying Expressions of Opinion in Context. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-2007). 2007.
Brody, Samuel and Diakopoulos, Nicholas. Cooooooooooooooollllllllllllll!!!!!!!!!!!!!! Using Word Lengthening to Detect Sentiment in Microblogs. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Brody, Samuel and Elhadad, Noemie. An Unsupervised Aspect-Sentiment Model for Online Reviews. In Proceedings of the 2010 Annual Conference of the North American Chapter of the ACL. 2010.
Brooke, Julian, Tofiloski, Milan, and Taboada, Maite. Cross-Linguistic Sentiment Analysis: From English to Spanish. In Proceedings of RANLP. 2009.
Burfoot, Clinton, Bird, Steven, and Baldwin, Timothy. Collective Classification of Congressional Floor-Debate Transcripts. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Burns, Nicola, Bi, Yaxin, Wang, Hui, and Anderson, Terry. Extended Twofold-Lda Model for Two Aspects in One Sentence. In Advances in Computational Intelligence. 2012.
Burrows, John F.Not Unless You Ask Nicely: The Interpretative Nexus between Analysis and Information. Literary and Linguistic Computing, 1992. 7: 91–109.CrossRefGoogle Scholar
Cambria, Erik and Hussain, Amir. Sentic Computing: Techniques, Tools, and Applications. 2012: Springer.CrossRefGoogle Scholar
Canini, Kevin R., Shi, Lei, and Griffiths, Thomas L.. Online Inference of Topics with Latent Dirichlet Allocation. AISTATS, 2009.
Cao, Yunbo, Xu, Jun, Liu, Tie-Yan, Li, Hang, Yalou Huang, and Hsiao-Wuen Hon. Adapting Ranking Svm to Document Retrieval. In Processings of Annual International ACM SIGIR Conference (SIGIR-2006). 2006.
Carenini, Giuseppe, Ng, Raymond, and Pauls, Adam. Multi-Document Summarization of Evaluative Text. In Proceedings of the European Chapter of the Association for Computational Linguistics (EACL-2006). 2006.
Carenini, Giuseppe, Ng, Raymond, and Zwart, Ed. Extracting Knowledge from Evaluative Text. In Proceedings of Third Intl. Conf. on Knowledge Capture (K-CAP-05). 2005.
Carlos, Cohan Sujay and Yalamanchi, Madhulika. Intention Analysis for Sales, Marketing and Customer Service. In Proceedings of COLING 2012: Demonstration Papers. 2012.
Carpenter, Bob. Integrating out Multinomial Parameters in Latent Dirichlet Allocation and Naive Bayes for Collapsed Gibbs Sampling. 2010: LingPipe, Inc.
Carvalho, Paula, Sarmento, Luís, Teixeira, Jorge, and Silva, Mário J.. Liars and Saviors in a Sentiment Annotated Corpus of Comments to Political Debates. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Shortpapers. 2011.
Castellanos, Malu, Dayal, Umeshwar, Hsu, Meichun, Ghosh, Riddhiman, Dekhil, Mohamed, Lu, Yue, Zhang, Lei, and Schreiman, Mark. LCI: A Social Channel Analysis Platform for Live Customer Intelligence. In Proceedings of the 2011 international conference on Management of Data (SIGMOD-2011). 2011.
Castillo, Carlos and Davison, Brian D.. Adversarial Web Search. Foundations and Trends in Information Retrieval, 2010. 4(5): 377–486.CrossRefGoogle Scholar
Chaffar, Soumaya and Inkpen, Diana. Using a Heterogeneous Dataset for Emotion Analysis in Text. In Advances in Artificial Intelligence. 2011.
Chaudhuri, Arjun. Emotion and Reason in Consumer Behavior. 2006: Elsevier Butterworth-Heinemann.Google Scholar
Chen, Bi, Zhu, Leilei, Kifer, Daniel, and Lee, Dongwon. What Is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI-2010). 2010.
Chen, Yubo and Xie, Jinhong. Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix. Management Science, 2008. 54(3): 477–91.CrossRefGoogle Scholar
Chen, Zheng, Lin, Fan, Liu, Huan, Liu, Yin, Ma, Wei-Ying, and Liu, Wenyin. User Intention Modeling in Web Applications Using Data Mining. World Wide Web: Internet and Web Information Systems, 2002. 5: 181–91.CrossRefGoogle Scholar
Chen, Zhiyuan and Liu, Bing, Topic Modeling Using Topics from Many Domains, Lifelong Learning and Big Data. In Proceedings of International Conference on Machine Learning (ICML-2014). 2014a.
Chen, Zhiyuan and Liu, Bing. Mining Topics in Documents: Standing on the Shoulders of Big Data. In Proceedings of SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014). 2014b.
Chen, Zhiyuan, Liu, Bing, Hsu, Meichun, Castellanos, Malu, and Ghosh, Riddhiman. Identifying Intention Posts in Discussion Forums. In Proceeding of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT-2013). 2013c.
Chen, Zhiyuan, Mukherjee, Arjun, and Liu, Bing, Aspect Extraction with Automated Prior Knowledge Learning. In Proceedings of 52th Annual Meeting of Association for Computational Linguistics (ACL-2014). 2014.
Chen, Zhiyuan, Mukherjee, Arjun, Liu, Bing, Hsu, Meichun, Castellanos, Malu, and Ghosh, Riddhiman. Discovering Coherent Topics Using General Knowledge. In Proceedings of the Twenty-Second ACM International Conference on Information and Knowledge Management (CIKM-2013). 2013a.
Chen, Zhiyuan, Mukherjee, Arjun, Liu, Bing, Hsu, Meichun, Castellanos, Malu, and Ghosh, Riddhiman. Exploiting Domain Knowledge in Aspect Extraction. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2013). 2013b.
Chen, Zhiyuan, Mukherjee, Arjun, Liu, Bing, Hsu, Meichun, Castellanos, Malu, and Ghosh, Riddhiman. Leveraging Multi-Domain Prior Knowledge in Topic Models. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI-2013). 2013d.
Choi, Yejin, Breck, Eric, and Cardie, Claire. Joint Extraction of Entities and Relations for Opinion Recognition. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). 2006.
Choi, Yejin and Cardie, Claire. Adapting a Polarity Lexicon Using Integer Linear Programming for Domain-Specific Sentiment Classification. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-2009). 2009.
Choi, Yejin and Cardie, Claire. Hierarchical Sequential Learning for Extracting Opinions and Their Attributes. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Choi, Yejin and Cardie, Claire. Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2008). 2008.
Choi, Yejin, Cardie, Claire, Riloff, Ellen, and Patwardhan, Siddharth. Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns. In Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-2005). 2005.
Chung, Jessica and Mustafaraj, Eni. Can Collective Sentiment Expressed on Twitter Predict Political Elections? In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2011). 2011.
Cilibrasi, Rudi L. and Vitanyi, Paul M. B.. The Google Similarity Distance. IEEE Transactions on Knowledge and Data Engineering, 2007. 19(3): 370–83.CrossRefGoogle Scholar
Crocker, David A.Tolerance and Deliberative Democracy. 2005: Technical Report, University of Maryland.Google Scholar
Cui, Hang, Mittal, Vibhu, and Datar, Mayur. Comparative Experiments on Sentiment Classification for Online Product Reviews. In Proceedings of AAAI-2006. 2006.
Dahlgren, Peter. In Search of the Talkative Public: Media, Deliberative Democracy and Civic Culture. Javnost/The Public, 2002.
Dahlgren, Peter.The Internet, Public Spheres, and Political Communication: Dispersion and Deliberation. Political Communication, 2005. 22: 147–62.CrossRefGoogle Scholar
Dai, Honghua, Nie, Zaiqing, Wang, Lee, Zhao, Lingzhi, Wen, Ji-Rong, and Li, Ying. Detecting Online Commercial Intention (OCI). In Proceedings of the 15th International Conference on World Wide Web (WWW-2006). 2006.
Das, Dipanjan.A Survey on Automatic Text Summarization Single-Document Summarization. Language, 2007. 4: 1–31.Google Scholar
Das, Sanjiv and Chen, Mike. Yahoo! For Amazon: Extracting Market Sentiment from Stock Message Boards. In Proceedings of APFA-2001. 2001.
Das, Sanjiv and Chen, Mike. Yahoo! For Amazon: Sentiment Extraction from Small Talk on the Web. Management Science, 2007. 53(9): 1375–88.CrossRefGoogle Scholar
Dasgupta, Sajib and Ng, Vincent. Mine the Easy, Classify the Hard: A Semi-Supervised Approach to Automatic Sentiment Classification. In Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP (ACL-2009). 2009.
Dave, Kushal, Lawrence, Steve, and Pennock, David M.. Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews. In Proceedings of International Conference on World Wide Web (WWW-2003). 2003.
Davidov, Dmitry, Tsur, Oren, and Rappoport, Ari. Enhanced Sentiment Learning Using Twitter Hashtags and Smileys. In Proceedings of Coling-2010. 2010.
Davis, Alexandre, Veloso, Adriano, da Silva, Altigran S., Jr, Wagner Meira., and Laender, Alberto H.F.. Named Entity Disambiguation in Streaming Data. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-2012). 2012.
de Marneffe, Marie-Catherine and Manning, Christopher D.. Stanford Typed Dependencies Manual. 2008.
Dellarocas, C., Zhang, X. M., and Awad, N. F.. Exploring the Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures. Journal of Interactive Marketing, 2007. 21(4): 23–45.CrossRefGoogle Scholar
Dey, Lipika and Mirajul Haque, S. K.. Opinion Mining from Noisy Text Data. In Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data (AND-2008). 2008.
Diakopoulos, Nicholas A. and Shamma, David A.. Characterizing Debate Performance via Aggregated Twitter Sentiment. In Proceedings of Conference on Human Factors in Computing Systems (CHI-2010). 2010.
Ding, Xiaowen and Liu, Bing. Resolving Object and Attribute Coreference in Opinion Mining. In Proceedings of International Conference on Computational Linguistics (COLING-2010). 2010.
Ding, Xiaowen, Liu, Bing, and Yu, Philip S.. A Holistic Lexicon-Based Approach to Opinion Mining. In Proceedings of the Conference on Web Search and Web Data Mining (WSDM-2008). 2008.
Ding, Xiaowen, Liu, Bing, and Zhang, Lei. Entity Discovery and Assignment for Opinion Mining Applications. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). 2009.
Dowty, David R., Wall, Robert E., and Peters, Stanley. Introduction to Montague Semantics. Vol. 11. 1981: Springer.Google Scholar
Dragut, Eduard C., Yu, Clement, Sistla, Prasad, and Meng, Weiyi. Construction of a Sentimental Word Dictionary. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2010). 2010.
Dragut, Eduard, Wang, Hong, Yu, Clement, Sistla, Prasad, and Meng, Weiyi. Polarity Consistency Checking for Sentiment Dictionaries. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2012). 2012.
Dredze, Mark, McNamee, Paul, Rao, Delip, Gerber, Adam, and Finin, Tim. Entity Disambiguation for Knowledge Base Population. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Du, Weifu and Tan, Songbo. Building Domain-Oriented Sentiment Lexicon by Improved Information Bottleneck. In Proceedings of ACM Conference on Information and Knowledge Management (CIKM-2009). 2009.
Du, Weifu, Tan, Songbo, Cheng, Xueqi, and Yun, Xiaochun. Adapting Information Bottleneck Method for Automatic Construction of Domain-Oriented Sentiment Lexicon. In Proceedings of ACM International Conference on Web Search and Data Mining (WSDM-2010). 2010.
Duda, Richard O., Hart, Peter E., and Stork, David G.. Pattern Recognition. 2001: John Wiley.Google Scholar
Duh, Kevin, Fujino, Akinori, and Nagata, Masaaki. Is Machine Translation Ripe for Cross-Lingual Sentiment Classification? In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Shortpapers (ACL-2011). 2011.
Eagly, Alice H. and Chaiken, Shelly. Attitude Structure and Function. In Handbook of Social Psychology, Gilbert, D. T., Fisk, S. T., and Lindsey, G., Editors. 1998: McGowan-Hill, 269–322.Google Scholar
Eguchi, Koji and Lavrenko, Victor. Sentiment Retrieval Using Generative Models. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). 2006.
Ekman, P., Friesen, W. V., and Ellsworth, P.. What Emotion Categories or Dimensions Can Observers Judge from Facial Behavior? In Emotion in the Human Face, Ekman, P., Editor. 1982: Cambridge University Press, 98–110.Google Scholar
Ekman, Paul.Facial Expression and Emotion. American Psychologist, 1993. 48(3): 384–92.CrossRefGoogle ScholarPubMed
Elkan, Charles, (Patent) Method and System for Selecting Documents by Measuring Document Quality. 2001. http://www.google.com/patents/about?id=WIp_AAAAEBAJ.
Esuli, Andrea and Sebastiani, Fabrizio. Determining the Semantic Orientation of Terms through Gloss Classification. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2005). 2005.
Esuli, Andrea and Sebastiani, Fabrizio. Determining Term Subjectivity and Term Orientation for Opinion Mining. In Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL-2006). 2006a.
Esuli, Andrea and Sebastiani, Fabrizio. Sentiwordnet: A Publicly Available Lexical Resource for Opinion Mining. In Proceedings of Language Resources and Evaluation (LREC-2006). 2006b.
Fang, Lei and Huang, Minlie. Fine Granular Aspect Analysis Using Latent Structural Models. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2012). 2012.
Fei, Geli, Chen, Zhiyuan, and Liu, Bing. Review Topic Discovery with Phrases Using the Pólya Urn Model. In Proceedings of the 25th International Conference on Computational Linguistics (COLING-2014). 2014.
Fei, Geli, Liu, Bing, Hsu, Meichun, Castellanos, Malu, and Ghosh, Riddhiman. A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining. In Proceedings of Computational Linguistics (COLING-2012). 2012.
Fei, Geli, Mukherjee, Arjun, Liu, Bing, Hsu, Meichun, Castellanos, Malu, and Ghosh, Riddhiman. Exploiting Burstiness in Reviews for Review Spammer Detection. In Proceedings of the 7th International AAAI Conference on Weblog and Social Media (ICWSM-2013). 2013.
Feldman, Ronen, Rosenfeld, Benjamin, Bar-Haim, Roy, and Fresko, Moshe. The Stock Sonar – Sentiment Analysis of Stocks Based on a Hybrid Approach. In Proceedings of 23rd IAAI Conference on Artificial Intelligence (IAAI-2011). 2011.
Feng, Shi, Zhang, Le, Li, Binyang, Wang, Daling, Yu, Ge, and Wong, Kam-Fai. Is Twitter a Better Corpus for Measuring Sentiment Similarity? in Proceedings of the 2013 Conference on Empirical Methods on Natural Language Processing (EMNLP-2013). 2013.
Feng, Song, Banerjee, Ritwik, and Yejin Choi. Syntactic Stylometry for Deception Detection. In Proceedings of ACL: Shortpaper. 2012.
Feng, Song, Bose, Ritwik, and Choi, Yejin. Learning General Connotation of Words Using Graph-Based Algorithms. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Feng, Song, Seok Kang, Jun, Polina Kuznetsova, and Yejin Choi. Connotation Lexicon: A Dash of Sentiment beneath the Surface Meaning. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Feng, Song, Xing, Longfei, Gogar, Anupam, and Choi, Yejin. Distributional Footprints of Deceptive Product Reviews. In Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM-2012). 2012.
Fiszman, Marcelo, Demner-Fushman, Dina, Lang, Francois M., Goetz, Philip, and Rindflesch, Thomas C.. Interpreting Comparative Constructions in Biomedical Text. In Proceedings of BioNLP. 2007.
Frantzi, Katerina, Ananiadou, Sophia, and Mima, Hideki. Automatic Recognition of Multi-Word Terms:. The C-Value/Nc-Value Method. International Journal on Digital Libraries, 2000. 3(2): 115–30.CrossRefGoogle Scholar
Galley, Michel, McKeown, Kathleen, Hirschberg, Julia, and Shriberg, Elizabeth. Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2004). 2004.
Gamon, Michael. Linguistic Correlates of Style: Authorship Classification with Deep Linguistic Analysis Features. In Proceedings of International Conference on Computational Linguistics (COLING-2004). 2004.
Gamon, Michael. Sentiment Classification on Customer Feedback Data: Noisy Data, Large Feature Vectors, and the Role of Linguistic Analysis. In Proceedings of International Conference on Computational Linguistics (COLING-2004). 2004.
Gamon, Michael, Aue, Anthony, Corston-Oliver, Simon, and Ringger, Eric. Pulse: Mining Customer Opinions from Free Text. Advances in Intelligent Data Analysis VI, 2005. 121–32.
Ganapathibhotla, Murthy and Liu, Bing. Mining Opinions in Comparative Sentences. In Proceedings of International Conference on Computational Linguistics (COLING-2008). 2008.
Ganesan, Kavita, Zhai, ChengXiang, and Han, Jiawei. Opinosis: A Graph-Based Approach to Abstractive Summarization of Highly Redundant Opinions. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Ganter, Viola and Strube, Michael. Finding Hedges by Chasing Weasels: Hedge Detection Using Wikipedia Tags and Shallow Linguistic Features. In Proceedings of the ACL-IJCNLP 2009 Conference: Shortpapers. 2009.
Gao, Sheng and Li, Haizhou. A Cross-Domain Adaptation Method for Sentiment Classification Using Probabilistic Latent Analysis. In Proceeding of the ACM Conference on Information and Knowledge Management (CIKM-2011). 2011.
Gastil, John. Communication as Deliberation: A Non-Deliberative Polemic on Communication Theory. 2005: Technical Report, Univ. of Washington.Google Scholar
Gastil, John. Political Communication and Deliberation. 2007: Sage.Google Scholar
Gatti, Lorenzo and Guerini, Marco. Assessing Sentiment Strength in Words Prior Polarities. In Proceedings of the Conference of the 24th International Conference on Computational Linguistics (COLING-2012). 2012.
Gayo-Avello, Daniel, Metaxas, Panagiotis T., and Mustafaraj, Eni. Limits of Electoral Predictions Using Twitter. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM-2011). 2011.
Ghahramani, Zoubin and Heller, Katherine A.. Bayesian Sets. Advances in Neural Information Processing Systems, 2005.
Ghani, Rayid, Probst, Katharina, Liu, Yan, Krema, Marko, and Fano, Andrew. Text Mining for Product Attribute Extraction. ACM SIGKDD Explorations Newsletter, 2006. 8(1): 41–48.CrossRefGoogle Scholar
Ghose, Anindya and Ipeirotis, Panagiotis G.. Designing Novel Review Ranking Systems: Predicting the Usefulness and Impact of Reviews. In Proceedings of the International Conference on Electronic Commerce. 2007.
Ghose, Anindya and Ipeirotis, Panagiotis G.. Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics. IEEE Transactions on Knowledge and Data Engineering. 2010.
Ghose, Anindya, Ipeirotis, Panagiotis G., and Sundararajan, Arun. Opinion Mining Using Econometrics: A Case Study on Reputation Systems. In Proceedings of the Association for Computational Linguistics (ACL-2007). 2007.
Gibbs, Raymond W. and Colston, Herbert L.. Irony in Language and Thought: A Cognitive Science Reader. 2007: Lawrence Erlbaum.Google Scholar
Gibbs, Raymond W.On the Psycholinguistics of Sarcasm. Journal of Experimental Psychology: General, 1986. 115(1): 3–15.Google Scholar
Girju, Roxana, Badulescu, Adriana, and Moldovan, Dan. Automatic Discovery of Part–Whole Relations. Computational Linguistics, 2006. 32(1): 83–135.Google Scholar
Goldberg, Andrew B. and Zhu, Xiaojin. Seeing Stars When There Aren't Many Stars: Graph-Based Semi-Supervised Learning for Sentiment Categorization. In Proceedings of HLT-NAACL 2006 Workshop on Textgraphs: Graph-based Algorithms for Natural Language Processing. 2006.
González-Ibáñez, Roberto, Muresan, Smaranda, and Wacholder, Nina. Identifying Sarcasm in Twitter: A Closer Look. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics:shortpapers (ACL-2011). 2011.
Gottipati, Swapna and Jiang, Jing. Linking Entities to a Knowledge Base with Query Expansion. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Graham, Neil, Hirst, Graeme, and Marthi, Bhaskara. Segmenting Documents by Stylistic Character. Natural Language Engineering, 2005. 11: 397–415.CrossRefGoogle Scholar
Gray, Jeffrey A.The Neuropsychology of Anxiety. 1982: Oxford University Press.Google Scholar
Greene, Stephan and Resnik, Philip. More Than Words: Syntactic Packaging and Implicit Sentiment. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the ACL (NAACL-2009). 2009.
Griffiths, Thomas L. and Steyvers, Mark. Finding Scientific Topics. Proceedings of the National Academy of Sciences of the United States of America, 2004. 101(Suppl 1).CrossRefGoogle ScholarPubMed
Griffiths, Thomas L. and Steyvers, Mark. Prediction and Semantic Association. In Neural information Processing Systems, 2003. 15: 11–18.Google Scholar
Griffiths, Thomas L., Steyvers, Mark, Blei, David M., and Tenenbaum, Joshua B.. Integrating Topics and Syntax. Advances in Neural Information Processing Systems, 2005. 17: 537–44.Google Scholar
Griffiths, T. L. and Steyvers, M.. Finding Scientific Topics. Proceedings of the National Academy of Sciences of the United States of America, 2004. 101(Suppl 1): 5228–35.CrossRefGoogle ScholarPubMed
Groh, Georg and Hauffa, Jan. Characterizing Social Relations via NLP-Based Sentiment Analysis. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM-2011). 2011.
Guerini, Marco, Gatti, Lorenzo, and Turchi, Marco. Sentiment Analysis: How to Derive Prior Polarities from Sentiwordnet. In Proceedings of the 2013 Conference on Empirical Methods on Natural Language Processing (EMNLP-2013). 2013.
Guo, Honglei, Zhu, Huijia, Guo, Zhili, Zhang, Xiaoxun, and Su, Zhong. Opinionit: A Text Mining System for Cross-Lingual Opinion Analysis. In Proceedings of the ACM Conference on Information and Knowledge Management (CIKM-2010). 2010.
Guo, Honglei, Zhu, Huijia, Guo, Zhili, Zhang, Xiaoxun, and Su, Zhong. Product Feature Categorization with Multilevel Latent Semantic Association. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2009). 2009.
Gutmann, Amy and Thompson, Dennis. Democracy and Disagreement. 1996: Harvard University Press.Google Scholar
Habermas, Jürgen. The Theory of Communicative Action: Vol. 1. Reason and the Rationalization of Society, Thomas Mccarthy, Translator. 1984: Beacon Press.Google Scholar
Hai, Zhen, Chang, Kuiyu, and Cong, Gao. One Seed to Find Them All: Mining Opinion Features via Assocaition. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2012). 2012.
Hai, Zhen, Chang, Kuiyu, and Kim, Jung-jae. Implicit Feature Identification via Co-Occurrence Association Rule Mining. Computational Linguistics and Intelligent Text Processing, 2011. LNCS 6608: 393–404.
Halteren, Hans van, Tweedie, Fiona, and Baayen, Harald. Outside the Cave of Shadows: Using Syntactic Annotation to Enhance Authorship Attribution. Literary and Linguistic Computing, 1996. 11: 121–32.Google Scholar
Han, Jiawei, Kamber, Micheline, and Jian, Pei. Data Mining: Concepts and Techniques. 3rd ed. 2011: Morgan Kaufmann.Google Scholar
Han, Xianpei and Sun, Le. An Entity-Topic Model for Entity Linking. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL-2012). 2012.
Hancock, Jeffrey T., Curry, Lauren E., Goorha, Saurabh, and Woodworth, Michael. On Lying and Being Lied To: A Linguistic Analysis of Deception in Computer-Mediated Communication. Discourse Processes, 2007. 45(1): 1–23.CrossRefGoogle Scholar
Hardisty, Eric A., Boyd-Graber, Jordan, and Resnik, Philip. Modeling Perspective Using Adaptor Grammars. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010.
Harmon, Amy. Amazon Glitch Unmasks War of Reviewers. New York Times, February 14, 2004.
Hartung, Matthias and Frank, Anette. Exploring Supervised LDA Models for Assigning Attributes to Adjective-Noun Phrases. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Hartung, Matthias and Frank, Anette. A Structured Vector Space Model for Hidden Attribute Meaning in Adjective-Noun Phrases. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Hassan, Ahmed, Abu-Jbara, Amjad, Jha, Rahul, and Radev, Dragomir. Identifying the Semantic Orientation of Foreign Words. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Shortpapers (ACL-2011). 2011.
Hassan, Ahmed, Qazvinian, Vahed, and Radev, Dragomir. What's with the Attitude? Identifying Sentences with Attitude in Online Discussions. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010.
Hassan, Ahmed and Radev, Dragomir. Identifying Text Polarity Using Random Walks. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Hatzivassiloglou, Vasileios, Klavans, Judith L., Holcombe, Melissa L., Barzilay, Regina, Kan, Min-Yen, and McKeown, Kathleen R.. Simfinder: A Flexible Clustering Tool for Summarization. In Proceedings of the Workshop on Summarization in NAACL-01. 2001.
Hatzivassiloglou, Vasileios and McKeown, Kathleen R.. Predicting the Semantic Orientation of Adjectives. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-1997). 1997.
Hatzivassiloglou, Vasileios and Wiebe, Janyce. Effects of Adjective Orientation and Gradability on Sentence Subjectivity. In Proceedings of International Conference on Computational Linguistics (COLING-2000). 2000.
He, Yulan. Learning Sentiment Classification Model from Labeled Features. In Proceedings of the ACM Conference on Information and Knowledge Management (CIKM-2011). 2010.
He, Yulan, Lin, Chenghua, and Alani, Harith. Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Hearst, Marti. Direction-Based Text Interpretation as an Information Access Refinement. In Text-Based Intelligent Systems, Jacobs, P., Editor. 1992: Lawrence Erlbaum, 257–74.Google Scholar
Heinrich, Gregor. A Generic Approach to Topic Models. In Proceedings of ECML/PKDD-2009: Machine Learning and Knowledge Discovery in Databases. 2009.
Hirst, Graeme and Feiguina, Ol'ga. Bigrams of Syntactic Labels for Authorship Discrimination of Short Texts. Literary and Linguistic Computing, 2007. 22: 405–17.CrossRefGoogle Scholar
Hobbs, Jerry R. and Riloff, Ellen. Information Extraction. In Handbook of Natural Language Processing, 2nd ed., Indurkhya, N. and Damerau, F. J., Editors. 2010: Chapman & Hall/CRC Press, 511–32.Google Scholar
Hoffart, Johannes, Yosef, Mohamed Amir, Bordino, Ilaria, Furstenau, Hagen, Pinkal, Manfred, Spaniol, Marc, Taneva, Bilyana, Thater, Stefan, and Weikum, Gerhard. Robust Disambiguation of Named Entities in Text. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Hofmann, Thomas. Probabilistic Latent Semantic Indexing. In Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI-1999). 1999.
Holloway, D. Just Another Reason Why We Have a Review Filter. 2011. http://officialblog.yelp.com/2011/10/just-another-reason-why-wehave-a-review-filter.html.
Hong, Yancheng and Skiena, Steven. The Wisdom of Bookies? Sentiment Analysis vs. The NFL Point Spread. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM-2010). 2010.
Hu, Jian, Wang, Gang, Lochovsky, Fred, Sun, Jian-Tao, and Chen, Zheng. Understanding User's Query Intent with Wikipedia. In Proceedings of the 18th International Conference on World Wide Web (WWW-2009). 2009.
Hu, Meishan, Sun, Aixin, and Lim, Ee-Peng. Comments-Oriented Document Summarization: Understanding Documents with Readers’ Feedback. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2008). 2008.
Hu, Minqing and Liu, Bing. Mining and Summarizing Customer Reviews. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004). 2004.
Hu, Nan, Pavlou, Paul A., and Zhang, Jennifer. Can Online Reviews Reveal a Product's True Quality? Empirical Findings and Analytical Modeling of Online Word-of-Mouth Communication. In Proceedings of Electronic Commerce (EC-2006). 2006.
Hu, Xia, Tang, Lei, Tang, Jiliang, and Liu, Huan. Exploiting Social Relations for Sentiment Analysis in Microblogging. In Proceedings of the ACM International Conference on Web Seatch and Data Mining (WSDM-2013). 2013.
Huang, Xuanjing and Croft, W. Bruce. A Unified Relevance Model for Opinion Retrieval. In Proceedings of ACM Conference on Information and Knowledge Management (CIKM-2009). 2009.
HUMAINE. Emotion Annotation and Representation Language. 2006. http://emotion-research.net/projects/humaine/earl.
Ikeda, Daisuke, Takamura, Hiroya, Ratinov, Lev-Arie, and Okumura, Manabu. Learning to Shift the Polarity of Words for Sentiment Classification. In Proceedings of the 3rd International Joint Conference on Natural Language Processing (IJCNLP-2008). 2008.
Indurkhya, Nitin and Damerau, Fred J.. Handbook of Natural Language Processing. 2nd ed. 2010: Chapman and Hall.Google Scholar
Izard, Carroll Ellis. The Face of Emotion. 1971: Appleton-Century-Crofts.Google Scholar
Jagarlamudi, Jagadeesh, Daumé III, Hal, and Udupa, Raghavendra. Incorporating Lexical Priors into Topic Models. In Proceedings of EACL-2012. 2012.
Jakob, Niklas and Gurevych, Iryna. Extracting Opinion Targets in a Single- and Cross-Domain Setting with Conditional Random Fields. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010.
James, William. What Is an Emotion?Mind, 1884. 9: 188–205.Google Scholar
Ji, Heng, Grishman, Ralph, Dang, Hoa Trang, Griffitt, Kira, and Ellis, Joe. Overview of the TAC 2010 Knowledge Base Population Track. 2010.
Jia, Lifeng, Yu, Clement, and Meng, Weiyi. The Effect of Negation on Sentiment Analysis and Retrieval Effectiveness. In Proceeding of the 18th ACM Conference on Information and Knowledge Management (CIKM-2009). 2009.
Jiang, Jay J. and Conrath, David W.. Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy. In Proceedings of Research in Computational Linguistics. 1997.
Jiang, Long, Yu, Mo, Zhou, Ming, Liu, Xiaohua, and Zhao, Tiejun. Target-Dependent Twitter Sentiment Classification. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Jijkoun, Valentin, de Rijke, Maarten, and Weerkamp, Wouter. Generating Focused Topic-Specific Sentiment Lexicons. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Jin, Wei and Hay Ho, Hung. A Novel Lexicalized HMM-Based Learning Framework for Web Opinion Mining. In Proceedings of International Conference on Machine Learning (ICML-2009). 2009.
Jindal, Nitin and Liu, Bing. Identifying Comparative Sentences in Text Documents. In Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2006). 2006a.
Jindal, Nitin and Liu, Bing. Mining Comparative Sentences and Relations. In Proceedings of National Conference on Artificial Intelligence (AAAI-2006). 2006b.
Jindal, Nitin and Liu, Bing. Opinion Spam and Analysis. In Proceedings of the Conference on Web Search and Web Data Mining (WSDM-2008). 2008.
Jindal, Nitin and Liu, Bing. Review Spam Detection. In Proceedings of WWW. 2007.
Jindal, Nitin, Liu, Bing, and Lim, Ee-Peng, Finding Atypical Review Patterns to Detect Possible Spammers. 2010: Technical Report, UIC.
Jindal, Nitin, Liu, Bing, and Lim, Ee-Peng. Finding Unusual Review Patterns Using Unexpected Rules. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2010). 2010.
Yohan, Jo and Oh, Alice. Aspect and Sentiment Unification Model for Online Review Analysis. In Proceedings of ACM Conference on Web Search and Data Mining (WSDM-2011). 2011.
Joachims, Thorsten. Making Large-Scale SVM Learning Practical. In Advances in Kernel Methods – Support Vector Learning, Schölkopf, B., Burges, C., and Smola, A., Editors. 1999: MIT Press.Google Scholar
Johansson, Richard and Moschitti, Alessandro. Reranking Models in Fine-Grained Opinion Analysis. In Proceedings of the International Conference on Computational Linguistics (COLING-2010). 2010.
Joshi, M. and Penstein-Rosé, C.. Generalizing Dependency Features for Opinion Mining. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers. 2009.
Joshi, Mahesh, Das, Dipanjan, Gimpel, Kevin, and Smith, Noah A.. Movie Reviews and Revenues: An Experiment in Text Regression. In Proceedings of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Conference (NAACL-2010). 2010.
Kaji, Nobuhiro and Kitsuregawa, Masaru. Automatic Construction of Polarity-Tagged Corpus from HTML Documents. In Proceedings of COLING/ACL 2006 Main Conference Poster Sessions (COLING-ACL-2006). 2006.
Kaji, Nobuhiro and Kitsuregawa, Masaru. Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-2007). 2007.
Kamps, Jaap, Marx, Maarten, Mokken, Robert J., and Rijke, Marten de. Words with Attitude. In Proceedings of the 1st International Conference on Global WordNet. 2002.
Kamps, Jaap, Marx, Maarten, Mokken, Robert J., and Rijke, Maarten De. Using Wordnet to Measure Semantic Orientation of Adjectives. In Proceedings of LREC-2004. 2004.
Kanayama, Hiroshi and Nasukawa, Tetsuya. Fully Automatic Lexicon Expansion for Domain-Oriented Sentiment Analysis. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). 2006.
Kennedy, Alistair and Inkpen, Diana. Sentiment Classification of Movie Reviews Using Contextual Valence Shifters. Computational Intelligence, 2006. 22(2): 110–25.CrossRefGoogle Scholar
Kennedy, Christopher. Comparatives, Semantics Of. In Encyclopedia of Language and Linguistics, 2nd ed. 2005: Elsevier.Google Scholar
Kessler, Jason S. and Nicolov, Nicolas. Targeting Sentiment Expressions through Supervised Ranking of Linguistic Configurations. In Proceedings of the Third International AAAI Conference on Weblogs and Social Media (ICWSM-2009). 2009.
Kessler, Wiltrud and Schütze, Hinrich. Classification of Inconsistent Sentiment Words Using Syntactic Constructions. In Proceedings of the Conference of the 24th International Conference on Computational Linguistics (COLING-2012). 2012.
Khabiri, Elham, Caverlee, James, and Hsu, Chiao-Fang. Summarizing User-Contributed Comments. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM-2011). 2011.
Khoo, Christopher Soo-Guan, Nourbakhsh, Armineh, and Na, Jin-Cheon. Sentiment Analysis of Online News Text: A Case Study of Appraisal Theory. Online Information Review, 2012. 36(6): 858–78.Google Scholar
Kim, Hyun Duk and Zhai, ChengXiang. Generating Comparative Summaries of Contradictory Opinions in Text. In Proceedings of ACM Conference on Information and Knowledge Management (CIKM-2009). 2009.
Kim, Jungi, Li, Jin-Ji, and Lee, Jong-Hyeok. Discovering the Discriminative Views: Measuring Term Weights for Sentiment Analysis. In Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP (ACL-2009). 2009.
Kim, Jungi, Li, Jin-Ji, and Lee, Jong-Hyeok. Evaluating Multilanguage-Comparability of Subjectivity Analysis Systems. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Kim, Seungyeon, Li, Fuxin, Lebanon, Guy, and Essa, Irfan. Beyond Sentiment: The Manifold of Human Emotions. In Proceedings of the 16th International Conference on Artificial Intelligence and Statistics. 2013.
Kim, Soo-Min and Hovy, Eduard. Automatic Identification of Pro and Con Reasons in Online Reviews. In Proceedings of COLING/ACL 2006 Main Conference Poster Sessions (ACL-2006). 2006.
Kim, Soo-Min and Hovy, Eduard. Crystal: Analyzing Predictive Opinions on the Web. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP/CoNLL-2007). 2007.
Kim, Soo-Min and Hovy, Eduard. Determining the Sentiment of Opinions. In Proceedings of International Conference on Computational Linguistics (COLING-2004). 2004.
Kim, Soo-Min and Hovy, Eduard. Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). 2006.
Kim, Soo-Min and Hovy, Eduard. Identifying and Analyzing Judgment Opinions. In Proceedings of Human Language Technology Conference of the North American Chapter of the ACL (NAACL-HLT-2006). 2006.
Kim, Soo-Min, Pantel, Patrick, Chklovski, Tim, and Pennacchiotti, Marco. Automatically Assessing Review Helpfulness. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). 2006.
Kim, Su Nam, Cavedon, Lawrence, and Baldwin, Timothy. Classifying Dialogue Acts in One-on-One Live Chats. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010.
Kindermann, Ross and Snell, J. Laurie. Markov Random Fields and Their Applications. 1980: American Mathematical Society.CrossRefGoogle Scholar
Kleinberg, Jon M.Authoritative Sources in a Hyperlinked Environment. Journal of the ACM, 1999. 46(5): 604–32.CrossRefGoogle Scholar
Klinger, Roman and Cimiano, Philipp. Bi-Directional Inter-Dependencies of Subjective Expressions and Targets and Their Value for a Joint Model. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Knapp, Mark L. and Comaden, Mark E.. Telling It Like It Isn't: A Review of Theory and Research on Deceptive Communications. Human Communication Research, 1979. 5: 270–85.CrossRefGoogle Scholar
Knapp, Mark L., Hart, Roderick P., and Dennis, Harry S.. An Exploration of Deception as a Communication Construct. Human Communication Research, 1974. 1: 15–29.CrossRefGoogle Scholar
Kobayashi, Nozomi, Iida, Ryu, Inui, Kentaro, and Matsumoto, Yuji. Opinion Mining on the Web by Extracting Subject-Attribute-Value Relations. In Proceedings of AAAI-CAAW'06. 2006.
Kobayashi, Nozomi, Inui, Kentaro, and Matsumoto, Yuji. Extracting Aspect-Evaluation and Aspect-of Relations in Opinion Mining. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL-2007). 2007.
Kost, Amanda. Woman Paid to Post Five-Star Google Feedback. ABC7 News. September 15, 2012.
Kouloumpis, Efthymios, Theresa Wilson, and Johanna Moore. Twitter Sentiment Analysis: The Good the Bad and the OMG! In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM-2011). 2011.
Kovelamudi, Sudheer, Ramalingam, Sethu, Sood, Arpit, and Varma, Vasudeva. Domain Independent Model for Product Attribute Extraction from User Reviews Using Wikipedia. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP-2010). 2011.
Kreuz, Roger J. and Caucci, Gina M.. Lexical Influences on the Perception of Sarcasm. In Proceedings of the Workshop on Computational Approaches to Figurative Language. 2007.
Kreuz, Roger J. and Glucksberg, Sam. How to Be Sarcastic: The Echoic Reminder Theory of Verbal Irony. Journal of Experimental Psychology: General, 1989. 118(4): 374–86.Google Scholar
Ku, Lun-Wei, Liang, Yu-Ting, and Chen, Hsin-Hsi. Opinion Extraction, Summarization and Tracking in News and Blog Corpora. In Proceedings of AAAI-CAAW'06. 2006.
Lafferty, John, McCallum, Andrew, and Pereira, Fernando. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proceedings of International Conference on Machine Learning (ICML-2001). 2001.
Lai, Guo-Hau, Guo, Ying-Mei, and Tsai, Richard Tzong-Han. Unsupervised Japanese-Chinese Opinion Word Translation Using Dependency Distance and Feature-Opinion Association Weight. In Proceedings of the Conference of the 24th International Conference on Computational Linguistics (COLING-2012). 2012.
Lakkaraju, Himabindu, Bhattacharyya, Chiranjib, Bhattacharya, Indrajit, and Merugu, Srujana. Exploiting Coherence for the Simultaneous Discovery of Latent Facets and Associated Sentiments. In Proceedings of SIAM Conference on Data Mining (SDM-2011). 2011.
Lappas, Theodoros and Gunopulos, Dimitrios. Efficient Confident Search in Large Review Corpora. In Proceedings of ECML-PKDD 2010. 2010.
Lazaridou, Angeliki, Titov, Ivan, and Sporleder, Caroline. A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Lee, Lillian. Measures of Distributional Similarity. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-1999). 1999.
Lee, Sophia Yat Mei, Chen, Ying, Huang, Chu-Ren, and Li, Shoushan. Detecting Emotion Causes with a Linguistic Rule-Based Approach. Computational Intelligence, 2013. 29(3): 390–416.CrossRefGoogle Scholar
Lerman, Kevin, Blair-Goldensohn, Sasha, and McDonald, Ryan. Sentiment Summarization: Evaluating and Learning User Preferences. In Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL-2009). 2009.
Lerman, Kevin and McDonald, Ryan. Contrastive Summarization: An Experiment with Consumer Reviews. In Proceedings of NAACL HLT 2009: Short Papers. 2009.
Lerner, Jean-Yves and Pinkal, Manfred. Comparatives and Nested Quantification. 1992: CLAUS-Report 21.
Li, Binyang, Zhou, Lanjun, Feng, Shi, and Wong, Kam-Fai. A Unified Graph Model for Sentence-Based Opinion Retrieval. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Li, Fangtao, Han, Chao, Huang, Minlie, Zhu, Xiaoyan, Xia, Ying-Ju, Zhang, Shu, and Yu, Hao. Structure-Aware Review Mining and Summarization. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Li, Fangtao, Huang, Minlie, Yang, Yi, and Zhu, Xiaoyan. Learning to Identify Review Spam. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-2011). 2011.
Li, Fangtao, Huang, Minlie, and Zhu, Xiaoyan. Sentiment Analysis with Global Topics and Local Dependency. In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-2010). 2010.
Li, Fangtao, Jialin Pan, Sinno, Jin, Ou, Yang, Qiang, and Zhu, Xiaoyan. Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2012). 2012.
Li, Junhui, Zhou, Guodong, Wang, Hongling, and Zhu, Qiaoming. Learning the Scope of Negation Via Shallow Semantic Parsing. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Li, Shasha, Lin, Chin-Yew, Song, Young-In, and Li, Zhoujun. Comparable Entity Mining from Comparative Questions. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Li, Shoushan, Huang, Chu-Ren, Zhou, Guodong, and Mei Lee, Sophia Yat. Employing Personal/ Impersonal Views in Supervised and Semi-Supervised Sentiment Classification. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Li, Shoushan, Ju, Shengfeng, Zhou, Guodong, and Li, Xiaojun. Active Learning for Imbalanced Sentiment Classification. In Proceedings of the 2012 Conference on Empirical Methods on Natural Language Processing (EMNLP-2012). 2012.
Li, Shoushan, Mei Lee, Sophia Yat, Chen, Ying, Huang, Chu-Ren, and Zhou, Guodong. Sentiment Classification and Polarity Shifting. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Li, Shoushan, Wang, Zhongqing, Zhou, Guodong, and Mei Lee, Sophia Yat. Semi-Supervised Learning for Imbalanced Sentiment Classification. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI-2011). 2011.
Li, Shoushan and Zong, Chengqing. Multi-Domain Sentiment Classification. In Proceedings of ACL-08: HLT, Short Papers (Companion Volume). 2008.
Li, Si, Zha, Zheng-Jun, Ming, Zhaoyan, Wang, Meng, Chua, Tat-Seng, Guo, Jun, and Xu, Weiran. Product Comparison Using Comparative Relations. In Processings of SIGIR. 2011.
Li, Tao, Zhang, Yi, and Sindhwani, Vikas. A Non-Negative Matrix Tri-Factorization Approach to Sentiment Classification with Lexical Prior Knowledge. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2009). 2009.
Li, Xiao-Li, Zhang, Lei, Liu, Bing, and Ng, See-Kiong. Distributional Similarity vs. PU Learning for Entity Set Expansion. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Li, Xiao, Wang, Ye-Yi, and Acero, Alex. Learning Query Intent from Regularized Click Graph. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2008). 2008.
Lim, Ee-Peng, Nguyen, Viet-An, Nitin Jindal, Bing Liu, and Hady W. Lauw. Detecting Product Review Spammers Using Rating Behaviors. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2010). 2010.
Lin, Chenghua and He, Yulan. Joint Sentiment/Topic Model for Sentiment Analysis. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2009). 2009.
Lin, Dekang. Automatic Retrieval and Clustering of Similar Words. In Proccedings of 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics (COLING-ACL-1998). 1998.
Lin, Dekang. Minipar. 2007: http://webdocs.cs.ualberta.ca/lindek/minipar.htm.
Lin, Kevin Hsin-Yih, Yang, Changhua, and Chen, Hsin-Hsi. What Emotions Do News Articles Trigger in Their Readers? In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGKR-2007). 2007.
Lin, Wei-Hao, Wilson, Theresa, Wiebe, Janyce, and Hauptmann, Alexander. Which Side Are You On? Identifying Perspectives at the Document and Sentence Levels. In Proceedings of the Conference on Natural Language Learning (CoNLL-2006). 2006.
Liu, Bing. Sentiment Analysis and Opinion Mining. 2012: Morgan and Claypool.Google Scholar
Liu, Bing. Sentiment Analysis and Subjectivity. In Handbook of Natural Language Processing, 2nd ed., Indurkhya, N. and Damerau, F. J., Editors. 2010: Chapman and Hall, 627–66.Google Scholar
Liu, Bing. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. 2006: Springer.Google Scholar
Liu, Bing, Hsu, Wynne, and Ma, Yiming. Integrating Classification and Association Rule Mining. In Proceedings of International Conference on Knowledge Discovery and Data Mining (KDD-1998). 1998.
Liu, Bing, Hu, Minqing, and Cheng, Junsheng. Opinion Observer: Analyzing and Comparing Opinions on the Web. In Proceedings of International Conference on World Wide Web (WWW-2005). 2005.
Liu, Bing, Sun Lee, Wee, Yu, Philip S., and Li, Xiao-Li. Partially Supervised Classification of Text Documents. In Proceedings of International Conference on Machine Learning (ICML-2002). 2002.
Liu, Feifan, Li, Bin, and Liu, Yang. Finding Opinionated Blogs Using Statistical Classifiers and Lexical Features. In Proceedings of the Third International AAAI Conference on Weblogs and Social Media (ICWSM-2009). 2009.
Liu, Feifan, Wang, Dong, Li, Bin, and Liu, Yang. Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods. In Proceedings of Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL (HLT-NAACL-2010). 2010.
Liu, Hugo, Lieberman, Henry, and Selker, Ted. A Model of Textual Affect Sensing Using Real-World Knowledge. In Proceedings of the 2003 International Conference on Intelligent User Interfaces (IUI-2003). 2003.
Liu, Jingjing, Cao, Yunbo, Lin, Chin-Yew, Huang, Yalou, and Zhou, Ming. Low-Quality Product Review Detection in Opinion Summarization. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL-2007). 2007.
Liu, Jingjing and Seneff, Stephanie. Review Sentiment Scoring Via a Parse-and-Paraphrase Paradigm. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-2009). 2009.
Liu, Kang, Xu, Liheng, and Zhao, Jun. Opinion Target Extraction Using Word-Based Translation Model. In Proceedings of the 2012 Conference on Empirical Methods on Natural Language Processing (EMNLP-2012). 2012.
Liu, Kang, Xu, Liheng, and Zhao, Jun. Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Liu, Xiaohua, Zhou, Ming, Wei, Furu, Fu, Zhongyang, and Zhou, Xiangyang. Joint Inference of Named Entity Recognition and Normalization for Tweets. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-2012). 2012.
Liu, Yang, Huang, Xiangji, An, Aijun, and Yu, Xiaohui. Arsa: A Sentiment-Aware Model for Predicting Sales Performance Using Blogs. In Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2007). 2007.
Liu, Yang, Huang, Xiangji, An, Aijun, and Yu, Xiaohui. Modeling and Predicting the Helpfulness of Online Reviews. In Proceedings of ICDM-2008. 2008.
Liu, Yang, Yu, Xiaohui, Chen, Zhongshuai, and Liu, Bing. Sentiment Analysis of Sentences with Modalities. In Proceedings of the 2013 International Workshop on Mining Unstructured Big Data Using Natural Language Processing. 2013.
Long, Chong, Zhang, Jie, and Zhu, Xiaoyan. A Review Selection Approach for Accurate Feature Rating Estimation. In Proceedings of Coling 2010: Poster Volume. 2010.
Lu, Bin. Identifying Opinion Holders and Targets with Dependency Parser in Chinese News Texts. In Proceedings of Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL (HLT-NAACL-2010). 2010.
Lu, Bin, Tan, Chenhao, Cardie, Claire, and Tsou, Benjamin K.. Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Lu, Yue, Castellanos, Malu, Dayal, Umeshwar, and Zhai, ChengXiang. Automatic Construction of a Context-Aware Sentiment Lexicon: An Optimization Approach. In Proceedings of the 20th International Conference on World Wide Web (WWW-2011). 2011.
Lu, Yue, Duan, Huizhong, Wang, Hongning, and Zhai, ChengXiang. Exploiting Structured Ontology to Organize Scattered Online Opinions. In Proceedings of International Conference on Computational Linguistics (COLING-2010). 2010.
Lu, Yue, Tsaparas, Panayiotis, Ntoulas, Alexandros, and Polanyi, Livia. Exploiting Social Context for Review Quality Prediction. In Proceedings of International World Wide Web Conference (WWW-2010). 2010.
Lu, Yue and Zhai, ChengXiang. Opinion Integration through Semi-Supervised Topic Modeling. In Proceedings of International Conference on World Wide Web (WWW-2008). 2008.
Lu, Yue, Zhai, ChengXiang, and Sundaresan, Neel. Rated Aspect Summarization of Short Comments. In Proceedings of International Conference on World Wide Web (WWW-2009). 2009.
Lui, Marco and Baldwin, Timothy. Classifying User Forum Participants: Separating the Gurus from the Hacks, and Other Tales of the Internet. In Proceedings of Australasian Language Technology Association Workshop. 2010.
Luther, . Yelp's Review Filter Explained. 2010: http://officialblog.yelp.com/2010/03/yelp-review-filter-explained.html.
Ma, Tengfei and Wan, Xiaojun. Opinion Target Extraction in Chinese News Comments. In Proceedings of Coling 2010 Poster Volume (COLING-2010). 2010.
Ma, Zongyang, Sun, Aixin, Yuan, Quan, and Cong, Gao. Topic-Driven Reader Comments Summarization. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM-2012). 2012.
Maas, Andrew L., Daly, Raymond E., Pham, Peter T., Huang, Dan, Ng, Andrew Y., and Potts, Christopher. Learning Word Vectors for Sentiment Analysis. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Macdonald, Craig, Ounis, Iadh, and Soboroff, Ian. Overview of the TREC 2007 Blog Track. 2007.
Mahmoud, Hosam. Pólya Urn Models. 2008: Chapman and Hall/CRC.CrossRefGoogle Scholar
Manevitz, Larry M. and Yousef, Malik. One-Class SVMs for Document Classification. Journal of Machine Learning Research, 2002. 2: 139–54.Google Scholar
Manning, Christopher D., Raghavan, Prabhakar, and Schutze, Hinrich. Introduction to Information Retrieval. Vol. 1. 2008: Cambridge University Press.CrossRefGoogle Scholar
Manning, Christopher D. and Schutze, Hinrich. Foundations of Statistical Natural Language Processing. 1999: MIT Press.Google Scholar
Martin, J. R. and White, P. R. R.. The Language of Evaluation: Appraisal in English. 2005: Palgrave Macmillan.CrossRefGoogle Scholar
Martineau, Justin and Finin, Tim. Delta TFIDF: An Improved Feature Space for Sentiment Analysis. In Proceedings of the Third International AAAI Conference on Weblogs and Social Media (ICWSM-2009). 2009.
Mayfield, Elijah and Penstein Rose, Carolyn. Recognizing Authority in Dialogue with an Integer Linear Programming Constrained Model. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
McDonald, Ryan, Hannan, Kerry, Neylon, Tyler, Wells, Mike, and Reynar, Jeff. Structured Models for Fine-to-Coarse Sentiment Analysis. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2007). 2007.
McDougall, William. An Introduction to Social Psychology. 1926: Luce.Google Scholar
McGlohon, Mary, Glance, Natalie, and Reiter, Zach. Star Quality: Aggregating Reviews to Rank Products and Merchants. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM-2010). 2010.
McNamee, Paul and Trang Dang, Hoa. Overview of the TAC 2009 Knowledge Base Population Track. In Proceedings of the Second Text Analysis Conference. 2009.
Medlock, Ben and Briscoe, Ted. Weakly Supervised Learning for Hedge Classification in Scientific Literature. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (ACL-2007). 2007.
Mei, Qiaozhu, Ling, Xu, Wondra, Matthew, Su, Hang, and Zhai, ChengXiang. Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs. In Proceedings of International Conference on World Wide Web (WWW-2007). 2007.
Mejova, Yelena and Srinivasan, Padmini. Exploring Feature Definition and Selection for Sentiment Classifiers. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM-2011). 2011.
Meng, Xinfan and Wang, Houfeng. Mining User Reviews: From Specification to Summarization. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers. 2009.
Meng, Xinfan, Wei, Furu, Xu, Ge, Zhang, Longkai, Liu, Xiaohua, Zhou, Ming, and Wang, Houfeng. Lost in Translations? Building Sentiment Lexicons Using Context Based Machine Translation. In Proceedings of the Conference of the 24th International Conference on Computational Linguistics (COLING-2012). 2012.
Metzler, Donald, Bernstein, Yaniv, Croft, W. Bruce, Moffat, Alistair, and Zobel, Justin. Similarity Measures for Tracking Information Flow. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2005). 2005.
Mihalcea, Rada, Banea, Carmen, and Wiebe, Janyce. Learning Multilingual Subjective Language via Cross-Lingual Projections. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2007). 2007.
Mihalcea, Rada and Liu, Hugo. A Corpus-Based Approach to Finding Happiness. In Proceedings of AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs. 2006.
Mihalcea, Rada and Strapparava, Carlo. The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers. 2009.
Miller, George A., Beckwith, Richard, Fellbaum, Christiane, Gross, Derek, and Miller, Katherine. Wordnet: An on-Line Lexical Database. 1990: Oxford University Press.Google Scholar
Miller, Mahalia, Sathi, Conal, Wiesenthal, Daniel, Leskovec, Jure, and Potts, Christopher. Sentiment Flow through Hyperlink Networks. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM-2011). 2011.
Milne, David and Witten, Ian H.. Learning to Link with Wikipedia. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2008). 2008.
Min, Hye-Jin and Park, Jong C.. Detecting and Blocking False Sentiment Propagation. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP-2010). 2011.
Mimno, David, Wallach, Hanna M., Edmund, Talley, Miriam, Leenders, and Andrew, McCallum. Optimizing semantic coherence in topic models. In Proceedings of the 2011 Conference on Empirical Methods on Natural Language Processing (EMNLP-2012). 2011.
Mishne, Gilad and de Rijke, Maarten. Capturing Global Mood Levels Using Blog Posts. In Proceedings of AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs. 2006.
Mishne, Gilad and Glance, Natalie. Predicting Movie Sales from Blogger Sentiment. In Proceedings of AAAI Spring Symposium on Computational Approaches to Analysing Weblogs. 2006.
Mitchell, Margaret, Aguilar, Jacqui, Wilson, Theresa, and Durme, Benjamin Van. Open Domain Targeted Sentiment. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP-2013). 2013.
Mitchell, Tom. Machine Learning. 1997: McGraw-Hill.Google Scholar
Moghaddam, Samaneh and Ester, Martin. ILDA: Interdependent LDA Model for Learning Latent Aspects and Their Ratings from Online Product Reviews. In Proceedings of the Annual ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR-2011). 2011.
Moghaddam, Samaneh and Ester, Martin. Opinion Digger: An Unsupervised Opinion Miner from Unstructured Product Reviews. In Proceeding of the ACM Conference on Information and Knowledge Management (CIKM-2010). 2010.
Moghaddam, Samaneh, Jamali, Mohsen, and Ester, Martin. ETF: Extended Tensor Factorization Model for Personalizing Prediction of Review Helpfulness. In Proceedings of ACM International Conference on Web Search and Data Mining (WSDM-2012). 2012.
Mohammad, Saif. From Once upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales. In Proceedings of the ACL 2011 Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH). 2011.
Mohammad, Saif and Yang, Tony. Tracking Sentiment in Mail: How Genders Differ on Emotional Axes. In Proceedings of the ACL Workshop on ACL 2011 Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA-2011). 2011.
Mohammad, Saif, Dunne, Cody, and Dorr, Bonnie. Generating High-Coverage Semantic Orientation Lexicons from Overtly Marked Words and a Thesaurus. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP-2009). 2009.
Mohammad, Saif M. # Emotional Tweets. In Proceedings of the First Joint Conference on Lexical and Computational Semantics (*Sem). 2012.
Mohammad, Saif M. and Turney, Peter D.. Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon. In Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. 2010.
Mohtarami, Mitra, Lan, Man, and Tan, Chew Lim. Probabilistic Sense Sentiment Similarity through Hidden Emotions. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Moilanen, Karo and Pulman, Stephen. Sentiment Composition. In Proceedings of Recent Advances in Natural Language Processing (RANLP 2007). 2007.
Moldovan, Dan and Badulescu, Adriana. A Semantic Scattering Model for the Automatic Interpretation of Genitives. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-2005). 2005.
Montague, Richard. Formal Philosophy: Selected Papers of Richard Montague. 1974: Yale University Press.Google Scholar
Mooney, Raymond J. and Bunescu, Razvan. Mining Knowledge from Text Using Information Extraction. ACM SIGKDD Explorations Newsletter, 2005. 7(1): 3–10.CrossRefGoogle Scholar
Morbini, Fabrizio and Sagae, Kenji. Joint Identification and Segmentation of Domain-Specific Dialogue Acts for Conversational Dialogue Systems. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011): Shortpapers. 2011.
Morinaga, Satoshi, Yamanishi, Kenji, Tateishi, Kenji, and Fukushima, Toshikazu. Mining Product Reputations on the Web. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002). 2002.
Mowrer, Orval Hobart. Learning Theory and Behavior. 1960: John Wiley.CrossRefGoogle Scholar
Moxey, Linda M. and Sanford, Anthony J.. Communicating Quantities: A Review of Psycholinguistic Evidence of How Expressions Determine Perspectives. Applied Cognitive Psychology, 2000. 14: 197–294.3.0.CO;2-R>CrossRefGoogle Scholar
Mukherjee, Arjun, Kumar, Abhinav, Liu, Bing, Wang, Junhui, Hsu, Meichun, Castellanos, Malu, and Ghosh, Riddhiman. Spotting Opinion Spammers Using Behavioral Footprints. In Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2013). 2013.
Mukherjee, Arjun and Liu, Bing. Aspect Extraction through Semi-Supervised Modeling. In Proceedings of 50th Annual Meeting of Association for Computational Linguistics (ACL-2012). 2012.
Mukherjee, Arjun and Liu, Bing. Discovering User Interactions in Ideological Discussions. In Proceedings of 51st Annual Meeting of Association for Computational Linguistics (ACL-2013). 2013.
Mukherjee, Arjun and Liu, Bing. Modeling Review Comments. In Proceedings of 50th Anunal Meeting of Association for Computational Linguistics (ACL-2012). 2012.
Mukherjee, Arjun and Liu, Bing. Mining Contentions from Discussions and Debates. In Proceedings of SIGKDD International Conference on Knowledge Discovery and Data Miinng (KDD-2012). 2012.
Mukherjee, Arjun, Liu, Bing, and Glance, Natalie. Spotting Fake Reviewer Groups in Consumer Reviews. In Proceedings of International World Web Conference (WWW-2012). 2012.
Mukherjee, Arjun, Liu, Bing, Wang, Junhui, Glance, Natalie, and Jindal, Nitin. Detecting Group Review Spam. In Proceedings of International Conference on World Wide Web (WWW-2011). 2011.
Mukherjee, Arjun, Venkataraman, Vivek, Liu, Bing, and Glance, Natalie. What Yelp Fake Review Filter Might Be Doing? In Proceedings of the 7th International AAAI Conference on Weblog and Social Media (ICWSM-2013). 2013.
Mukherjee, Arjun, Venkataraman, Vivek, Liu, Bing, and Meraz, Sharon. Public Dialogue: Analysis of Tolerance in Online Discussions. In Proceedings of 51st Annual Meeting of Association for Computational Linguistics (ACL-2013). 2013.
Mukund, Smruthi and Srihari, Rohini K.. A Vector Space Model for Subjectivity Classification in Urdu Aided by Co-Training. In Proceedings of Coling 2010: Poster Volume. 2010.
Mullen, Tony and Collier, Nigel. Sentiment Analysis Using Support Vector Machines with Diverse Information Sources. In Proceedings of EMNLP-2004. 2004.
Murakami, Akiko and Raymond, Rudy. Support or Oppose? Classifying Positions in Online Debates from Reply Activities and Opinion Expressions. In Proceedings of Coling 2010: Poster Volume. 2010.
Na, Seung-Hoon, Lee, Yeha, Nam, Sang-Hyob, and Lee, Jong-Hyeok. Improving Opinion Retrieval Based on Query-Specific Sentiment Lexicon. Advances in Information Retrieval, 2009. 734–738.
Nakagawa, Tetsuji, Inui, Kentaro, and Kurohashi, Sadao. Dependency Tree-Based Sentiment Classification Using CRFs with Hidden Variables. In Proceedings of Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL (HLT-HAACL-2010). 2010.
Nalisnick, Eric and Baird, Henry. Character-to-Character Sentiment Analysis in Shakespeare's Plays. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Narayanan, Ramanathan, Liu, Bing, and Choudhary, Alok. Sentiment Analysis of Conditional Sentences. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2009). 2009.
Nasukawa, Tetsuya and Yi, Jeonghee. Sentiment Analysis: Capturing Favorability Using Natural Language Processing. In Proceedings of the K-CAP-03, 2nd International Conference on Knowledge Capture. 2003.
Neviarouskaya, Alena, Prendinger, Helmut, and Ishizuka, Mitsuru. Compositionality Principle in Recognition of Fine-Grained Emotions from Text. In Proceedings of Third International Conference on Weblogs and Social Media (ICWSM-2009). 2009.
Neviarouskaya, Alena, Prendinger, Helmut, and Ishizuka, Mitsuru. Recognition of Affect, Judgment, and Appreciation in Text. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Newman, Matthew L., Pennebaker, James W., Berry, Diane S., and Richards, Jane M.. Lying Words: Predicting Deception from Linguistic Styles. Personality and Social Psychology Bulletin, 2003. 29(5): 665–75.CrossRefGoogle ScholarPubMed
Ng, Vincent and Cardie, Claire. Improving Machine Learning Approaches to Coreference Resolution. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2002). 2002.
Ng, Vincent, Dasgupta, Sajib, and Arifin, S. M. Niaz. Examining the Role of Linguistic Knowledge Sources in the Automatic Identification and Classification of Reviews. In Proceedings of COLING/ACL 2006 Main Conference Poster Sessions (COLING/ACL-2006). 2006.
Nigam, Kamal and Hurst, Matthew. Towards a Robust Metric of Opinion. In Proceedings of AAAI Spring Symposium on Exploring Attitude and Affect in Text. 2004.
Nigam, Kamal, McCallum, Andrew K., Thrun, Sebastian, and Mitchell, Tom. Text Classification from Labeled and Unlabeled Documents Using EM. Machine Learning, 2000. 39(2): 103–34.CrossRefGoogle Scholar
Nishikawa, Hitoshi, Hasegawa, Takaaki, Matsuo, Yoshihiro, and Kikui, Genichiro. Opinion Summarization with Integer Linear Programming Formulation for Sentence Extraction and Ordering. In Proceedings of Coling 2010: Poster Volume. 2010a.
Nishikawa, Hitoshi, Hasegawa, Takaaki, Matsuo, Yoshihiro, and Kikui, Genichiro. Optimizing Informativeness and Readability for Sentiment Summarization. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010b.
O'Connor, Brendan, Balasubramanyan, Ramnath, Routledge, Bryan R., and Smith, Noah A.. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM 2010). 2010.
O'Mahony, Michael P. and Smyth, Barry. Learning to Recommend Helpful Hotel Reviews. In Proceedings of the Third ACM Conference on Recommender Systems. 2009.
Oatley, K. and Jobnson-Laird, P. N.. Towards a Cognitive Theory of Emotions. Cognition and Emotion, 1987. 1: 29–50.
Ortony, Andrew and Turner, Terence J.. What's Basic about Basic Emotions? Psychological Review, 1990. 97(3): 315–31.CrossRefGoogle ScholarPubMed
Osgood, Charles E., Succi, George J., and Tannenbaum, Percy H.. The Measurement of Meaning. 1957: University of Illinois.Google Scholar
Ott, Myle, Choi, Yejin, Cardie, Claire, and Hancock, Jeffrey T.. Finding Deceptive Opinion Spam by Any Stretch of the Imagination. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Ounis, Iadh, Macdonald, Craig, Rijke, Maarten de, Mishne, Gilad, and Soboroff, Ian. Overview of the TREC-2006 Blog Track. In Proceedings of the 15th Text REtrieval Conference (TREC-2006). 2006.
Ounis, Iadh, Macdonald, Craig, and Soboroff, Ian. Overview of the TREC-2008 Blog Track. In Proceedings of the 16th Text REtrieval Conference (TREC-2008). 2008.
Page, Lawrence, Brin, Sergey, Motwani, Rajeev, and Winograd, Terry. The Pagerank Citation Ranking: Bringing Order to the Web. 1999.
Paltoglou, Georgios and Thelwall, Mike. A Study of Information Retrieval Weighting Schemes for Sentiment Analysis. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Pan, Sinno Jialin, Ni, Xiaochuan, Sun, Jian-Tao, Yang, Qiang, and Chen, Zheng. Cross-Domain Sentiment Classification via Spectral Feature Alignment. In Proceedings of International Conference on World Wide Web (WWW-2010). 2010.
Pang, Bo and Lee, Lillian. Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2008. 2(1–2): 1–135.Google Scholar
Pang, Bo and Lee, Lillian. Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales. In Proceedings of Meeting of the Association for Computational Linguistics (ACL-2005). 2005.
Pang, Bo and Lee, Lillian. A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. In Proceedings of Meeting of the Association for Computational Linguistics (ACL-2004). 2004.
Pang, Bo and Lee, Lillian. Using Very Simple Statistics for Review Search: An Exploration. In Proceedings of International Conference on Computational Linguistics (COLING-2008). 2008.
Pang, Bo, Lee, Lillian, and Vaithyanathan, Shivakumar. Thumbs Up? Sentiment Classification Using Machine Learning Techniques. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2002). 2002.
Panksepp, Jaak. Toward a General Psychobiological Theory of Emotions. Behavioral and Brain Sciences, 1982. 5(3): 407–22.CrossRefGoogle Scholar
Pantel, Patrick, Crestan, Eric, Borkovsky, Arkady, Popescu, Ana-Maria, and Vyas, Vishnu. Web-Scale Distributional Similarity and Entity Set Expansion. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2009). 2009.
Park, Do-Hyung, Lee, Jumin, and Han, Ingoo. The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement. International Journal of Electronic Commerce, 2007. 11(4): 125–48.CrossRefGoogle Scholar
Park, Souneil, Lee, KyungSoon, and Song, Junehwa. Contrasting Opposing Views of News Articles on Contentious Issues. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Parrott, W. Gerrod. Emotions in Social Psychology: Essential Readings. 2001: Psychology Press.Google Scholar
Paul, Michael J., Zhai, ChengXiang, and Girju, Roxana. Summarizing Contrastive Viewpoints in Opinionated Text. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010.
Peng, Wei and Park, Dae Hoon. Generate Adjective Sentiment Dictionary for Social Media Sentiment Analysis Using Constrained Nonnegative Matrix Factorization. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM-2011). 2011.
Pennebaker, James W., Chung, Cindy K., Ireland, Molly, Gonzales, Amy, and Booth, Roger J.. The Development and Psychometric Properties of LIWC2007. 2007.
Perez-Rosas, Veronica, Mihalcea, Rada, and Morency, Louis-Philippe. Utterance-Level Multimodal Sentiment Analysis. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Petterson, James, Smola, A. J., Caetano, Tiberio, Buntine, Wray, and Narayanamurthy, Shravan. Word Features for Latent Dirichlet Allocation. In Proceedings of NIPS-2010. 2010.
Picard, Rosalind W. Affective Computing. 1997: MIT Press.CrossRefGoogle Scholar
Plutchik, Robert. A General Psychoevolutionary Theory of Emotion. In Emotion: Theory, Research, and Experience: Vol. 1. Theories of Emotion, Plutchik, R. and Kellerman, H., Editors. 1980: Academic Press, 3–33.Google Scholar
Polanyi, Livia and Zaenen, Annie. Contextual Valence Shifters. In Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text. 2004.
Ponomareva, Natalia and Thelwall, Mike. Do Neighbours Help? An Exploration of Graph-Based Algorithms for Cross-Domain Sentiment Classification. In Proceedings of the 2012 Conference on Empirical Methods on Natural Language Processing (EMNLP-2012). 2012.
Popat, Kashyap, Balamurali, A. R., Bhattacharyya, Pushpak, and Haffari, Gholamreza. The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Popescu, Ana-Maria and Etzioni, Oren. Extracting Product Features and Opinions from Reviews. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2005). 2005.
Qian, Tieyun and Liu, Bing. Identifying Multiple Userids of the Same Author. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2013). 2013.
Qiu, Guang, Liu, Bing, Bu, Jiajun, and Chen, Chun. Expanding Domain Sentiment Lexicon through Double Propagation. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI-2009). 2009.
Qiu, Guang, Liu, Bing, Bu, Jiajun, and Chen, Chun. Opinion Word Expansion and Target Extraction through Double Propagation. Computational Linguistics, 2011. 37(1): 9–27.CrossRefGoogle Scholar
Qiu, Likun, Zhang, Weish, Hu, Changjian, and Zhao, Kai. SELC: A Self-Supervised Model for Sentiment Classification. In Proceeding of the 18th ACM Conference on Information and Knowledge Management (CIKM-2009). 2009.
Qu, Lizhen, Ifrim, Georgiana, and Weikum, Gerhard. The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns. In Proceedings of the International Conference on Computational Linguistics (COLING-2010). 2010.
Quinlan, J. Ross. C4.5: Programs for Machine Learning. 1993: Morgan Kaufmann.Google Scholar
Raaijmakers, Stephan and Kraaij, Wessel. A Shallow Approach to Subjectivity Classification. In Proceedings of ICWSM-2008. 2008.
Raaijmakers, Stephan, Truong, Khiet, and Wilson, Theresa. Multimodal Subjectivity Analysis of Multiparty Conversation. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2008). 2008.
Rabiner, Lawrence R. A. Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE, 1989. 77(2): 257–86.CrossRefGoogle Scholar
Radev, Dragomir R., Teufel, Simone, Saggion, Horacio, Lam, Wai, Blitzer, John, Qi, Hong, Celebi, Arda, Liu, Danyu, and Drabek, Elliott. Evaluation Challenges in Large-Scale Document Summarization. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2003). 2003.
Rao, Delip and Ravichandran, Deepak. Semi-Supervised Polarity Lexicon Induction. In Proceedings of the 12th Conference of the European Chapter of the ACL (EACL-2009). 2009.
Ravichandran, Deepak and Hovy, Eduard. Learning Surface Text Patterns for a Question Answering System. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2002). 2002.
Riloff, Ellen. Automatically Constructing a Dictionary for Information Extraction Tasks. In Processing of AAAI-1993. 1993.
Riloff, Ellen. Automatically Generating Extraction Patterns from Untagged Text. In Proceedings of AAAI-1996. 1996.
Riloff, Ellen, Patwardhan, Siddharth, and Wiebe, Janyce. Feature Subsumption for Opinion Analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). 2006.
Riloff, Ellen, Qadir, Ashequl, Surve, Prafulla, Silva, Lalindra De, Gilbert, Nathan, and Huang, Ruihong. Sarcasm as Contrast between a Positive Sentiment and Negative Situation. In Proceedings of the 2013 Conference on Empirical Methods on Natural Language Processing (EMNLP-2013). 2013.
Riloff, Ellen and Wiebe, Janyce. Learning Extraction Patterns for Subjective Expressions. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2003). 2003.
Robertson, Stephen and Zaragoza, Hugo. The Probabilistic Relevance Framework: BM25 and Beyond. Foundations and Trends in Information Retrieval, 2009. 3(4): 333–89.Google Scholar
Rosen-Zvi, Michal, Griffiths, Thomas, Steyvers, Mark, and Smyth, Padhraic. The Author-Topic Model for Authors and Documents. In Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence. 2004.
Rosenberg, Sabine and Bergler, Sabine. Uconcordia: Clac Negation Focus Detection at *Sem 2012. In Proceedings of *SEM 2012: The First Joint Conference on Lexical and Computational Semantics. 2012.
Rosenberg, Sabine, Kilicoglu, Halil, and Bergler, Sabine. Clac Labs Processing Modality and Negation. In Working Notes for QA4MRE Pilot Task at CLEF 2012. 2012.
Ruppenhofer, Josef, Somasundaran, Swapna, and Wiebe, Janyce. Finding the Sources and Targets of Subjective Expressions. In Proceedings of LREC. 2008.
Russell, James A.Core Affect and the Psychological Construction of Emotion. Psychological Review, 2003. 110(1): 145–72.CrossRefGoogle ScholarPubMed
Sadikov, Eldar, Parameswaran, Aditya, and Venetis, Petros. Blogs as Predictors of Movie Success. In Proceedings of the Third International Conference on Weblogs and Social Media (ICWSM-2009). 2009.
Sakunkoo, Patty and Sakunkoo, Nathan. Analysis of Social Influence in Online Book Reviews. In Proceedings of Third International AAAI Conference on Weblogs and Social Media (ICWSM-2009). 2009.
Salton, Gerard. The Smart Retrieval System – Experiments in Automatic Document Processing. 1971: Prentice Hall.Google Scholar
Sang, Tjong Kim and Bos, Johan. Predicting the 2011 Dutch Senate Election Results with Twitter. In Proceedings of 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL-2012). 2012.
Santorini, Beatrice. Part-of-Speech Tagging Guidelines for the Penn Treebank Project. 1990: University of Pennsylvania, School of Engineering and Applied Science, Department of Computer and Information Science.Google Scholar
Sarawagi, Sunita. Information Extraction. Foundations and Trends in Databases, 2008. 1(3): 261–377.Google Scholar
Sarawagi, Sunita and Cohen, William W.. Semi-Markov Conditional Random Fields for Information Extraction. In Proceedings of NIPS 2004. 2004.
Sauper, Christina, Haghighi, Aria, and Barzilay, Regina. Content Models with Attitude. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Scaffidi, Christopher, Bierhoff, Kevin, Chang, Eric, Felker, Mikhael, Ng, Herman, and Jin, Chun. Red Opal: Product-Feature Scoring from Reviews. In Proceedings of Twelfth ACM Conference on Electronic Commerce (EC-2007). 2007.
Schapire, Robert E. and Singer, Yoram. Boostexter: A Boosting-Based System for Text Categorization. Machine Learning, 2000. 39(2): 135–68.CrossRefGoogle Scholar
Scheible, Christian and Schütze, Hinrich. Sentiment Relevance. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Scholz, Thomas and Conrad, Stefan. Opinion Mining in Newspaper Articles by Entropy-Based Word Connections. In Proceedings of the 2013 Conference on Empirical Methods on Natural Language Processing (EMNLP-2013). 2013.
Seki, Yohei, Eguchi, Koji, Kando, Noriko, and Aono, Masaki. Opinion-Focused Summarization and Its Analysis at DUC 2006. In Proceedings of the Document Understanding Conference (DUC). 2006.
Sen, Prithviraj, Namata, Galileo, Bilgic, Mustafa, Getoor, Lise, Galligher, Brian, and Eliassi-Rad, Tina. Collective Classification in Network Data. AI Magazine, 2008. 29(3): 93–106.CrossRefGoogle Scholar
Shanahan, James G., Qu, Yan, and Wiebe, Janyce. Computing Attitude and Affect in Text: Theory and Applications. 2006: Springer.
Shawe-Taylor, John and Cristianini, Nello. Support Vector Machines. 2000: Cambridge University Press.Google Scholar
Shen, Dou, Sun, Jian-Tao, Yang, Qiang, and Chen, Zheng. Building Bridges for Web Query Classification. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2006). 2006.
Si, Jianfeng, Mukherjee, Arjun, Liu, Bing, Li, Qing, Li, Huayi, and Deng, Xiaotie. Exploiting Topic Based Twitter Sentiment for Stock Prediction. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Singh, Push. The Public Acquisition of Commonsense Knowledge. In Proceedings of AAAI Spring Symposium: Acquiring (and Using) Linguistic (and World) Knowledge for Information Access. 2002.
Smyth, Padhraic. Probabilistic Model-Based Clustering of Multivariate and Sequential Data. In Proceedings of Artificial Intelligence and Statistics. 1999.
Snyder, Benjamin and Barzilay, Regina. Multiple Aspect Ranking Using the Good Grief Algorithm. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL/HLT-2007). 2007.
Socher, Richard, Pennington, Jeffrey, Huang, Eric, Ng, Andrew, and Manning, Christopher. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Socher, Richard, Perelygin, Alex, Wu, Jean, Manning, Christopher, Ng, Andrew, and Chuang, Jason. Recursive Deep Models for Semantic Compositionality over a Sentiment Treebank. In Proceedings of the 2013 Conference on Empirical Methods on Natural Language Processing (EMNLP-2013). 2013.
Somasundaran, Swapna, Ruppenhofer, Josef, and Wiebe, Janyce. Discourse Level Opinion Relations: An Annotation Study. In Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue. 2008.
Somasundaran, Swapna, Namata, Galileo, Getoor, Lise, and Wiebe, Janyce. Opinion Graphs for Polarity and Discourse Classification. In Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing. 2009.
Somasundaran, Swapna and Wiebe, Janyce. Recognizing Stances in Ideological on-Line Debates. In Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. 2010.
Somasundaran, Swapna and Wiebe, Janyce. Recognizing Stances in Online Debates. In Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP (ACL-IJCNLP-2009). 2009.
Steyvers, Mark and Griffiths, Thomas L.. Probabilistic Topic Models. Handbook of Latent Semantic Analysis, 2007. 427(7): 424–40.Google Scholar
Stone, Philip. The General Inquirer: A Computer Approach to Content Analysis. Journal of Regional Science, 1968. 8(1): 113–16.Google Scholar
Stoppelman, J. Why Yelp Has a Review Filter. 2009: http://officialblog.yelp.com/2009/10/why-yelp-has-a-reviewfilter.html.
Stoyanov, Veselin and Cardie, Claire. Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule Learning. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). 2006.
Stoyanov, Veselin and Cardie, Claire. Topic Identification for Fine-Grained Opinion Analysis. In Proceedings of the International Conference on Computational Linguistics (COLING-2008). 2008.
Strapparava, Carlo and Mihalcea, Rada. Learning to Identify Emotions in Text. In Proceedings of the 2008 ACM Symposium on Applied Computing. 2008.
Strapparava, Carlo and Valitutti, Alessandro. Wordnet-Affect: An Affective Extension of Wordnet. In Proceedings of the International Conference on Language Resources and Evaluation. 2004.
Streitfeld, David, The Best Book Reviews Money Can Buy. New York Times, August 25, 2012.
Streitfeld, David, For $2 a Star, an Online Retailer Gets 5-Star Product Reviews. New York Times, January 26, 2012.
Su, Fangzhong and Markert, Katja. From Words to Senses: A Case Study of Subjectivity Recognition. In Proceedings of the 22nd International Conference on Computational Linguistics (COLING-2008). 2008.
Su, Fangzhong and Markert, Katja. Word Sense Subjectivity for Cross-Lingual Lexical Substitution. In Proceedings of Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL (HLT-NAACL-2010). 2010.
Su, Qi, Xinying, Xu, Guo, Honglei, Guo, Zhili, Wu, Xian, Zhang, Xiaoxun, Swen, Bin, and Su, Zhong. Hidden Sentiment Association in Chinese Web Opinion Mining. In Proceedings of International Conference on World Wide Web (WWW-2008). 2008.
Sutton, Charles and McCallum, Andrew. An Introduction to Conditional Random Fields. Foundations and Trends in Machine Learning, 2011. 4(4): 267–373.Google Scholar
Taboada, Maite, Caroline Anthony, and Kimberly Voll. Creating Semantic Orientation Dictionaries. In Proceedings of 5th International Conference on Language Resources and Evaluation (LREC-2006). 2006.
Taboada, Maite, Brooke, Julian, Tofiloski, Milan, Voll, Kimberly, and Stede, Manfred. Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics, 2011. 37(2): 267–307.CrossRefGoogle Scholar
Täckström, Oscar and McDonald, Ryan. Discovering Fine-Grained Sentiment with Latent Variable Structured Prediction Models. Advances in Information Retrieval, 2011a, 368–74.
Täckström, Oscar and McDonald, Ryan. Semi-Supervised Latent Variable Models for Sentence-Level Sentiment Analysis. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Shortpapers (ACL-2011). 2011b.
Takamura, Hiroya, Inui, Takashi, and Okumura, Manabu. Extracting Semantic Orientations of Phrases from Dictionary. In Proceedings of the Joint Human Language Technology/North American Chapter of the ACL Conference (HLT-NAACL-2007). 2007.
Takamura, Hiroya, Inui, Takashi, and Okumura, Manabu. Extracting Semantic Orientations of Words Using Spin Model. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2005). 2005.
Takamura, Hiroya, Inui, Takashi, and Okumura, Manabu. Latent Variable Models for Semantic Orientations of Phrases. In Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL-2006). 2006.
Tan, Pang-Ning, Steinbach, Michael, and Kumar, Vipin. Introduction to Data Mining. 2005: Addison-Wesley.Google Scholar
Tan, Songbo, Wu, Gaowei, Tang, Huifeng, and Cheng, Xueqi. A Novel Scheme for Domain-Transfer Problem in the Context of Sentiment Analysis. In Proceeding of the ACM Conference on Information and Knowledge Management (CIKM-2007). 2007.
Tata, Swati and Eugenio, Barbara Di. Generating Fine-Grained Reviews of Songs from Album Reviews. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Thomas, Matt, Pang, Bo, and Lee, Lillian. Get out the Vote: Determining Support or Opposition from Congressional floor-Debate Transcripts. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2006). 2006.
Ivan, Titov and McDonald, Ryan. Modeling Online Reviews with Multi-Grain Topic Models. In Proceedings of International Conference on World Wide Web (WWW-2008). 2008a.
Titov, Ivan and McDonald, Ryan. A Joint Model of Text and Aspect Ratings for Sentiment Summarization. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2008). 2008b.
Tokuhisa, Ryoko, Inui, Kentaro, and Matsumoto, Yuji. Emotion Classification Using Massive Examples Extracted from the Web. In Proceedings of the 22nd International Conference on Computational Linguistics (COLING-2008). 2008.
Tomkins, Silvan. Affect Theory. In Approaches to Emotion, Scherer, K. R. and Ekman, P., Editors. 1984: Lawrence Eribaum, 163–95.Google Scholar
Tong, Richard M. An Operational System for Detecting and Tracking Opinions in on-Line Discussion. In Proceedings of SIGIR Workshop on Operational Text Classification. 2001.
Toprak, Cigdem, Jakob, Niklas, and Gurevych, Iryna. Sentence and Expression Level Annotation of Opinions in User-Generated Discourse. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010.
Tsaparas, Panayiotis, Ntoulas, Alexandros, and Terzi, Evimaria. Selecting a Comprehensive Set of Reviews. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2011). 2011.
Tsur, Oren, Davidov, Dmitry, and Rappoport, Ari. A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media (ICWSM-2010). 2010.
Tsur, Oren and Rappoport, Ari. Revrank: A Fully Unsupervised Algorithm for Selecting the Most Helpful Book Reviews. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM-2009). 2009.
Tumasjan, Andranik, Sprenger, Timm O., Sandner, Philipp G., and Welpe, Isabell M.. Predicting Elections with Twitter: What 140Characters Reveal about Political Sentiment. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM-2010). 2010.
Turney, Peter D. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2002). 2002.
Turney, Peter D. and Littman, Micharel L.. Measuring Praise and Criticism: Inference of Semantic Orientation from Association. ACM Transactions on Information Systems, 2003. 21(4): 315–46.CrossRefGoogle Scholar
Utsumi, Akira. Verbal Irony as Implicit Display of Ironic Environment: Distinguishing Ironic Utterances from Nonirony. Journal of Pragmatics, 2000. 32(12): 1777–1806.CrossRefGoogle Scholar
Valitutti, Alessandro, Strapparava, Carlo, and Stock, Oliviero. Developing Affective Lexical Resources. PsychNology Journal, 2004. 2(1): 61–83.Google Scholar
Velikovich, Leonid, Blair-Goldensohn, Sasha, Hannan, Kerry, and McDonald, Ryan. The Viability of Web-Derived Polarity Lexicons. In Proceedings of Annual Conference of the North American Chapter of the Association for Computational Linguistics (HAACL-2010). 2010.
Velosoa, Adriano, Meira, Wagner., and Zaki, Mohammed J.. Lazy Associative Classification. In Proceedings of the 6th IEEE International Conference on Data Mining (ICDM-2006). 2006.
Volkova, Svitlana, Wilson, Theresa, and Yarowsky, David. Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media. In Proceedings of the 2013 Conference on Empirical Methods on Natural Language Processing (EMNLP-2013). 2013.
Volkova, Svitlana, Wilson, Theresa, and Yarowsky, David. Exploring Sentiment in Social Media: Bootstrapping Subjectivity Clues from Multilingual Twitter Streams. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Vrij, Aldert. Detecting Lies and Deceit: Pitfalls and Opportunities. 2008: Wiley-Interscience.Google Scholar
Wallach, Hanna M. Topic Modeling: Beyond Bag-of-Words. In Proceedings of the 23rd international Conference on Machine learning (ICML-2006). 2006.
Wan, Xiaojun. Co-Regression for Cross-Language Review Rating Prediction. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Wan, Xiaojun. Co-Training for Cross-Lingual Sentiment Classification. In Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP (ACL-IJCNLP-2009). 2009.
Wan, Xiaojun. Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2008). 2008.
Wang, Bo and Wang, Houfeng. Bootstrapping Both Product Features and Opinion Words from Chinese Customer Reviews with Cross-Inducing. In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP-2008). 2008.
Wang, Dong and Liu, Yang. A Pilot Study of Opinion Summarization in Conversations. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Wang, Guan, Xie, Sihong, Liu, Bing, and Yu, Philip S.. Identify Online Store Review Spammers via Social Review Graph. ACM Transactions on Intelligent Systems and Technology, 2011. 3(4): 1–21.Google Scholar
Wang, Hongning, Lu, Yue, and Zhai, Chengxiang. Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). 2010.
Wang, Li, Lui, Marco, Kim, Su Nam, Nivre, Joakim, and Baldwin, Timothy. Predicting Thread Discourse Structure over Technical Web Forums. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Wang, Yong and Witten, Ian H.. Pace Regression. 1999: Technical Report 99/12, Department of Computer Science, University of Waikato.Google Scholar
Watson, John B. Behaviorism. 1930: Chicago University Press.Google Scholar
Wei, Bin and Pal, Christopher. Cross Lingual Adaptation: An Experiment on Sentiment Classifications. In Proceedings of the ACL 2010 Conference Short Papers (ACL-2010). 2010.
Weiner, B. and Graham, S.. An Attributional Approach to Emotional Development. In Emotion, Cognition and Behavior, Izard, C. E., Kagan, J., and Zajonc, R. B., Editors. 1984: Cambridge University Press, 167–91.Google Scholar
Weise, Karen. A Lie Detector Test for Online Reviewers. Businessweek, 2011: http://www.businessweek.com/magazine/a-lie-detector-test-for-online-reviewers-09292011.html.
Wen, Miaomiao and Wu, Yunfang. Mining the Sentiment Expectation of Nouns Using Bootstrapping Method. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP-2010). 2011.
Wiebe, Janyce. Identifying Subjective Characters in Narrative. In Proceedings of the International Conference on Computational Linguistics (COLING-1990). 1990.
Wiebe, Janyce. Learning Subjective Adjectives from Corpora. In Proceedings of National Conference on Artificial Intelligence (AAAI-2000). 2000.
Wiebe, Janyce. Tracking Point of View in Narrative. Computational Linguistics, 1994. 20: 233–87.Google Scholar
Wiebe, Janyce and Mihalcea, Rada. Word Sense and Subjectivity. In Proceedings of International Conference on Computational Linguistics and 44th Annual Meeting of the ACL (COLING/ACL-2006). 2006.
Wiebe, Janyce, Bruce, Rebecca F., and O'Hara, Thomas P.. Development and Use of a Gold-Standard Data Set for Subjectivity Classifications. In Proceedings of the Association for Computational Linguistics (ACL-1999). 1999.
Wiebe, Janyce and Riloff, Ellen. Creating Subjective and Objective Sentence Classifiers from Unannotated Texts. Computational Linguistics and Intelligent Text Processing, 2005. 486–97.
Wiebe, Janyce, Wilson, Theresa, Bruce, Rebecca F., Bell, Matthew, and Martin, Melanie. Learning Subjective Language. Computational Linguistics, 2004. 30(3): 277–308.CrossRefGoogle Scholar
Wiebe, Janyce, Wilson, Theresa, and Cardie, Claire. Annotating Expressions of Opinions and Emotions in Language. Language Resources and Evaluation, 2005. 39(2): 165–210.CrossRefGoogle Scholar
Wiegand, M. and Klakow, D.. Convolution Kernels for Opinion Holder Extraction. In Proceedings of Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL (HLT-HAACL-2010). 2010.
Williams, Gbolahan K. and Singh Anand, Sarabjot. Predicting the Polarity Strength of Adjectives Using Wordnet. In Proceedings of the Third International AAAI Conference on Weblogs and Social Media (ICWSM-2009). 2009.
Wilson, Theresa and Raaijmakers, Stephan. Comparing Word, Character, and Phoneme N-Grams for Subjective Utterance Recognition. In Proceedings of Interspeech. 2008.
Wilson, Theresa and Wiebe, Janyce. Annotating Attributions and Private States. In Proceedings of ACL Workshop on Frontiers in Corpus Annotation II: Pie in the Sky. 2005.
Wilson, Theresa, Wiebe, Janyce, and Hoffmann, Paul. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis. In Proceedings of the Human Language Technology Conference and the Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-2005). 2005.
Wilson, Theresa, Wiebe, Janyce, and Hoffmann, Paul. Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis. Computational Linguistics, 2009. 35(3): 399–433.CrossRefGoogle Scholar
Wilson, Theresa, Wiebe, Janyce, and Hwa, Rebecca. Just How Mad Are You? Finding Strong and Weak Opinion Clauses. In Proceedings of National Conference on Artificial Intelligence (AAAI-2004). 2004.
Wilson, Theresa, Wiebe, Janyce, and Hwa, Rebecca. Recognizing Strong and Weak Opinion Clauses. Computational Intelligence, 2006. 22(2): 73–99.CrossRefGoogle Scholar
Wu, Guangyu, Greene, Derek, Smyth, Barry, and Cunningham, Pádraig. Distortion as a Validation Criterion in the Identification of Suspicious Reviews. In Proceedings of Social Media Analytics. 2010.
Wu, Qion, Tan, Songbo, and Cheng, Xueqi. Graph Ranking for Sentiment Transfer. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers (ACL-IJCNLP-2009). 2009.
Wu, Yuanbin, Zhang, Qi, Huang, Xuanjing, and Wu, Lide. Phrase Dependency Parsing for Opinion Mining. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2009). 2009.
Wu, Yuanbin, Zhang, Qi, Huang, Xuanjing, and Wu, Lide. Structural Opinion Mining for Graph-Based Sentiment Representation. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Wu, Yunfang and Wen, Miaomiao. Disambiguating Dynamic Sentiment Ambiguous Adjectives. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Xia, Rui, Wang, Tao, Hu, Xuelei, Li, Shoushan, and Zong, Chengqing. Dual Training and Dual Prediction for Polarity Classification. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Xia, Rui and Zong, Chengqing. Exploring the Use of Word Relation Features for Sentiment Classification. In Proceedings of Coling 2010: Poster Volume. 2010.
Xia, Rui and Zong, Chengqing. A POS-Based Ensemble Model for Cross-Domain Sentiment Classification. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP-2010). 2011.
Xie, Sihong, Wang, Guan, Lin, Shuyang, and Yu, Philip S.. Review Spam Detection via Temporal Pattern Discovery. In Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2012). 2012.
Xu, Ge, Meng, Xinfan, and Wang, Houfeng. Build Chinese Emotion Lexicons Using a Graph-Based Algorithm and Multiple Resources. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Xu, Liheng, Liu, Kang, Lai, Siwei, Chen, Yubo, and Zhao, Jun. Mining Opinion Words and Opinion Targets in a Two-Stage Framework. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Xu, Qiongkai and Zhao, Hai. Using Deep Linguistic Features for Finding Deceptive Opinion Spam. In Proceedings of the Conference of the 24th International Conference on Computational Linguistics (COLING-2012). 2012.
Yang, Bishan and Cardie, Claire. Extracting Opinion Expressions with Semi-Markov Conditional Random Fields. In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP-2012). 2012.
Yang, Bishan and Cardie, Claire. Joint Inference for Fine-Grained Opinion Extraction. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2013). 2013.
Yang, Changhua, Lin Lin, Kevin Hsin-Yih, and Chen, Hsin-Hsi. Building Emotion Lexicon from Weblog Corpora. In Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions. 2007.
Yang, Hui, Si, Luo, and Callan, Jamie. Knowledge Transfer and Opinion Detection in the Trec2006 Blog Track. In Proceedings of TREC. 2006.
Yang, Seon and Ko, Youngjoong. Extracting Comparative Entities and Predicates from Texts Using Comparative Type Classification. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Yang, Yiming and Pedersen, Jan O.. A Comparative Study on Feature Selection in Text Categorization. In Proceedings of the Fourteenth International Conference on Machine Learning (ICML-1997). 1997.
Yano, Tae and Smith, Noah A.. What's Worthy of Comment? Content and Comment Volume in Political Blogs. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM 2010). 2010.
Yatani, Koji, Novati, Michael, Trusty, Andrew, and Truong, Khai N.. Analysis of Adjective-Noun Word Pair Extraction Methods for Online Review Summarization. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI-2011). 2011.
Yessenalina, Ainur and Cardie, Claire. Compositional Matrix-Space Models for Sentiment Analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Yessenalina, Ainur, Choi, Yejin, and Cardie, Claire. Automatically Generating Annotator Rationales to Improve Sentiment Classification. In Proceedings of the ACL 2010 Conference Short Papers. 2010a.
Yessenalina, Ainur, Yue, Yison, and Cardie, Claire. Multi-Level Structured Models for Document-Level Sentiment Classification. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010b.
Yi, Jeonghee, Nasukawa, Tetsuya, Bunescu, Razvan, and Niblack, Wayne. Sentiment Analyzer: Extracting Sentiments About a Given Topic Using Natural Language Processing Techniques. In Proceedings of IEEE International Conference on Data Mining (ICDM-2003). 2003.
Yogatama, Dani, Sim, Yanchuan, and Smith, Noah A.. A Probabilistic Model for Canonicalizing Named Entity Mentions. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-2012). 2012.
Yoshida, Yasuhisa, Hirao, Tsutomu, Iwata, Tomoharu, Nagata, Masaaki, and Matsumoto, Yuji. Transfer Learning for Multiple-Domain Sentiment Analysis – Identifying Domain Dependent/Independent Word Polarity. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2011). 2011.
Yu, Chun-Nam and Joachims, Thorsten. Learning Structural SVMs with Latent Variables. In Proceedings of International Conference on Machine Learning (ICML-2009). 2009.
Yu, Hong and Hatzivassiloglou, Vasileios. Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2003). 2003.
Yu, Jianxing, Zha, Zheng-Jun, Wang, Meng, and Chua, Tat-Seng. Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011.
Yu, Jianxing, Zha, Zheng-Jun, Wang, Meng, Wang, Kai, and Chua, Tat-Seng. Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Zafarani, Reza and Liu, Huan. Connecting Users across Social Media Sites: A Behavioral-Modeling Approach. In Proceedings of SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2013). 2013.
Zaidan, Omar F., Eisner, Jason, and Piatko, Christine. Using “Annotator Rationales” to Improve Machine Learning for Text Categorization. In Proceedings of NAACL-HLT 2007. 2007.
Zhai, Zhongwu, Liu, Bing, Xu, Hua, and Jia, Peifa. Clustering Product Features for Opinion Mining. In Proceedings of ACM International Conference on Web Search and Data Mining (WSDM-2011). 2011.
Zhai, Zhongwu, Liu, Bing, Xu, Hua, and Jia, Peifa. Constrained LDA for Grouping Product Features in Opinion Mining. In Proceedings of PAKDD-2011. 2011.
Zhai, Zhongwu, Liu, Bing, Xu, Hua, and Jia, Peifa. Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints. In Proceedings of International Conference on Computational Linguistics (COLING-2010). 2010.
Zhai, Zhongwu, Liu, Bing, Zhang, Lei, Xu, Hua, and Jia, Peifa. Identifying Evaluative Opinions in Online Discussions. In Proceedings of AAAI. 2011.
Zhang, Lei and Liu, Bing. Extracting Resource Terms for Sentiment Analysis. In Proceedings of IJCNLP-2011. 2011a.
Zhang, Lei and Liu, Bing. Identifying Noun Product Features That Imply Opinions. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011b.
Zhang, Lei and Liu, Bing. Entity Set Expansion in Opinion Documents. In Proceedings of ACM Conference on Hypertext and Hypermedia (HT-2011). 2011c.
Zhang, Lei, Liu, Bing, Lim, Suk Hwan, and O'Brien-Strain, Eamonn. Extracting and Ranking Product Features in Opinion Documents. In Proceedings of International Conference on Computational Linguistics (COLING-2010). 2010.
Zhang, Min and Ye, Xingyao. A Generation Model to Unify Topic Relevance and Lexicon-Based Sentiment for Opinion Retrieval. In Proceedings of the Annual ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR-2008). 2008.
Zhang, Qi, Qian, Jin, Chen, Huan, Kang, Jihua, and Huang, Xuanjing. Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2013). 2013.
Zhang, Wei, Jia, Lifeng, Yu, Clement, and Meng, Weiyi. Improve the Effectiveness of the Opinion Retrieval and Opinion Polarity Classification. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2008). 2008.
Zhang, Wei, Su, Jian, Tan, Chew Lim, and Wang, Wen Ting. Entity Linking Leveraging Automatically Generated Annotation. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010.
Zhang, Wei and Yu, Clement, UIC at TREC 2007 Blog Report. 2007.
Zhang, Wenbin and Skiena, Steven. Trading Strategies to Exploit Blog and News Sentiment. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM-2010). 2010.
Zhang, Xue, Fuehres, Hauke, and Gloor, Peter A.. Predicting Stock Market Indicators through Twitter “I Hope It Is Not as Bad as I Fear.” In Proceedings of Collaborative Innovations Networks Conference (COINs). 2010.
Zhang, Zhu and Varadarajan, Balaji. Utility Scoring of Product Reviews. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2006). 2006.
Zhao, Wayne Xin, Jiang, Jing, He, Jing, Song, Yang, Achananuparp, Palakorn, Lim, Ee Peng, and Li, Xiaoming. Topical Keyphrase Extraction from Twitter. In Proceedings of Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-2011). 2011.
Zhao, Wayne Xin, Jiang, Jing, Yan, Hongfei, and Li, Xiaoming. Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010.
Zhao, Yanyan, Qin, Bing, and Liu, Ting. Collocation Polarity Disambiguation Using Web-Based Pseudo Contexts. In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP-2012). 2012.
Zhe, Xu and Boucouvalas, A. C.. Text-to-Emotion Engine for Real Time Internet Communication. In Proceedings of International Symposium on Communication Systems, Networks and DSPs. 2002.
Zheng, Zhicheng, Li, Fangtao, Huang, Minlie, and Zhu, Xiaoyan. Learning to Link Entities with Knowledge Base. In Proceedings of Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL (HLT-NAACL-2010). 2010.
Zhou, Lanjun, Li, Binyang, Gao, Wei, Wei, Zhongyu, and Wong, Kam-Fai. Unsupervised Discovery of Discourse Relations for Eliminating Intra-Sentence Polarity Ambiguities. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2011). 2011.
Zhou, Lina, Shi, Yongmei, and Zhang, Dongsong. A Statistical Language Modeling Approach to Online Deception Detection. IEEE Transactions on Knowledge and Data Engineering, 2008. 20(8): 1077–81.CrossRefGoogle Scholar
Zhou, Shusen, Chen, Qingcai, and Wang, Xiaolong. Active Deep Networks for Semi-Supervised Sentiment Classification. In Proceedings of Coling 2010: Poster Volume. 2010.
Zhou, Xinjie, Wan, Xiaojun, and Xiao, Jianguo. Collective Opinion Target Extraction in Chinese Microblogs. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP-2013). 2013.
Zhu, Jingbo, Wang, Huizhen, Tsou, Benjamin K., and Zhu, Muhua. Multi-Aspect Opinion Polling from Textual Reviews. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2009). 2009.
Zhu, Xiaojin and Ghahramani, Zoubin. Learning from Labeled and Unlabeled Data with Label Propagation. 2002: Technical Report CMU-CALD-02–107, Carnegie Mellon University.Google Scholar
Zhuang, Li, Jing, Feng, and Zhu, Xiaoyan. Movie Review Mining and Summarization. In Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2006). 2006.
Zirn, Cäcilia, Niepert, Mathias, Stuckenschmidt, Heiner, and Strube, Michael. Fine-Grained Sentiment Analysis with Structural Features. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP-2011). 2011.

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  • Bibliography
  • Bing Liu, University of Illinois, Urbana-Champaign
  • Book: Sentiment Analysis
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139084789.017
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  • Bibliography
  • Bing Liu, University of Illinois, Urbana-Champaign
  • Book: Sentiment Analysis
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139084789.017
Available formats
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  • Bibliography
  • Bing Liu, University of Illinois, Urbana-Champaign
  • Book: Sentiment Analysis
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139084789.017
Available formats
×