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7 - Sentiment Lexicon Generation

Published online by Cambridge University Press:  23 September 2020

Bing Liu
Affiliation:
University of Illinois, Chicago
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Summary

By now, it should be quite clear that words and phrases that convey positive or negative sentiment are instrumental for sentiment analysis. This chapter discusses how to compile such word lists. In the research literature, sentiment words are also called opinion words, polar words, or opinion-bearing words. Positive sentiment words such as beautiful, wonderful, and amazing are used to express some desired states or qualities, while negative sentiment words such as bad, awful, and poor are used to express some undesired states or qualities. In addition to individual words, there are sentiment phrases and idioms – for example, cost an arm and a leg. Collectively, they are called the sentiment lexicon (or opinion lexicon). From now on, when we say sentiment words, we mean both individual words and phrases.

Type
Chapter
Information
Sentiment Analysis
Mining Opinions, Sentiments, and Emotions
, pp. 227 - 242
Publisher: Cambridge University Press
Print publication year: 2020

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  • Sentiment Lexicon Generation
  • Bing Liu, University of Illinois, Chicago
  • Book: Sentiment Analysis
  • Online publication: 23 September 2020
  • Chapter DOI: https://doi.org/10.1017/9781108639286.008
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  • Sentiment Lexicon Generation
  • Bing Liu, University of Illinois, Chicago
  • Book: Sentiment Analysis
  • Online publication: 23 September 2020
  • Chapter DOI: https://doi.org/10.1017/9781108639286.008
Available formats
×

Save book to Google Drive

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.

  • Sentiment Lexicon Generation
  • Bing Liu, University of Illinois, Chicago
  • Book: Sentiment Analysis
  • Online publication: 23 September 2020
  • Chapter DOI: https://doi.org/10.1017/9781108639286.008
Available formats
×