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10 - Analysis of Debates and Comments

Published online by Cambridge University Press:  05 June 2015

Bing Liu
Affiliation:
University of Illinois, Urbana-Champaign
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Summary

Opinion documents come in many different forms. So far, we have implicitly assumed that individual documents are independent of each other or have no relationships. In this chapter, we move on to two social media contexts that involve extensive interactions of their participants, that is, debates/discussions and comments, which are also full of expressions of sentiments and opinions. However, the key characteristic of the documents in such media forms is that they are not independent of each other, which is in contrast to standalone documents such as reviews and blog posts. Interactive exchanges of discussions among participants make these media forms much richer for analysis. The interactions can be seen as relationships or links among participants and also among posts. Thus, we not only can perform sentiment analysis as we have discussed in previous chapters, but also carry out additional types of analyses that are characteristic of interactions, for example, grouping people into camps, discovering contentious issues of debates, mining agreement and disagreement expressions, discovering pairwise arguing nature, and so on. Because debates are exchanges of arguments and reasoning among participants who may be engaged in some kind of deliberation to achieve a common goal, it is interesting to study whether each participant in online debate forums indeed gives reasoned arguments with justifiable claims via constructive debates or just exhibits dogmatism and egotistic clashes of ideologies. These tasks are important for many fields of social science such as political science and communications. Central to these tasks are the sentiment of agreement and disagreement, which are instrumental to these analyses. These additional types of analyses are the focus of this chapter.

Comments are posts that comment on online articles (e.g., news articles, blog posts, and reviews), videos, images, and so on. We use comments about online articles in our study in this chapter. Comments typically contain many types of information, for example, views and opinions from the readers of the article about the article and/or its subject matter, questions to the author of the article or to other readers, and discussions among readers and between readers and the author of the article.

Type
Chapter
Information
Sentiment Analysis
Mining Opinions, Sentiments, and Emotions
, pp. 231 - 249
Publisher: Cambridge University Press
Print publication year: 2015

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  • Analysis of Debates and Comments
  • Bing Liu, University of Illinois, Urbana-Champaign
  • Book: Sentiment Analysis
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139084789.011
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  • Analysis of Debates and Comments
  • Bing Liu, University of Illinois, Urbana-Champaign
  • Book: Sentiment Analysis
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139084789.011
Available formats
×

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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Analysis of Debates and Comments
  • Bing Liu, University of Illinois, Urbana-Champaign
  • Book: Sentiment Analysis
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139084789.011
Available formats
×