Mining Opinions, Sentiments, and Emotions
$64.00 ( ) USD
- Author: Bing Liu, University of Illinois, Chicago
Adobe eBook Reader
Other available formats:
Looking for an examination copy?
If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact email@example.com providing details of the course you are teaching.
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs that are commonly used to express opinions and sentiments. It covers all core areas of sentiment analysis, includes many emerging themes, such as debate analysis, intention mining, and fake-opinion detection, and presents computational methods to analyze and summarize opinions. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences.Read more
- Covers state-of-the-art research techniques and practical algorithms to form the most comprehensive text on sentiment analysis
- Covers not only the core areas of sentiment analysis, but also several emerging topics such as debate, discussion and comment analysis, intention mining, and fake opinion detection
- Suitable for students, researchers and practitioners of computer science, management science, and social science
Review was not posted due to profanity×
- Date Published: May 2015
- format: Adobe eBook Reader
- isbn: 9781316308462
- contains: 24 b/w illus. 9 tables
- availability: This item is not supplied by Cambridge University Press in your region. Please contact eBooks.com for availability.
Table of Contents
2. The problem of sentiment analysis
3. Document sentiment classification
4. Sentence subjectivity and sentiment classification
5. Aspect sentiment classification
6. Aspect and entity extraction
7. Sentiment lexicon generation
8. Analysis of comparative opinions
9. Opinion summarization and search
10. Analysis of debates and comments
11. Mining intentions
12. Detecting fake or deceptive opinions
13. Quality of reviews.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email firstname.lastname@example.orgRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×