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7 - Sentiment Lexicon Generation

Published online by Cambridge University Press:  05 June 2015

Bing Liu
Affiliation:
University of Illinois, Urbana-Champaign
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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 also 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.

Sentiment words can be divided into two types, base type and comparative type. All the preceding example words are of the base type. Sentiment words of the comparative type (which include the superlative type) are used to express comparative and superlative opinions. Examples of such words include better, worse, best, worst, and so on, which are comparative and superlative forms of the base adjectives or adverbs such as good and bad. We discuss comparative and superlative sentiment words further in Chapter 8. This chapter focuses on sentiment words of the base type.

There are three main existing approaches to compiling sentiment words: manual approach, dictionary-based approach (discussed in Section 7.1), and corpusbased approach (discussed in Section 7.2). The manual approach is labor-intensive and time-consuming, and is thus usually used as a check on automated approaches because automated approaches make mistakes. In Section 7.3, we will also discuss the issue of factual statements implying opinions, which has largely been overlooked by the research community.

This chapter is written in a survey style because past research has constructed numerous sentiment lexicons in many languages. Most of them are publicly available (see Section 7.4 for a list of them in English).

Type
Chapter
Information
Sentiment Analysis
Mining Opinions, Sentiments, and Emotions
, pp. 189 - 201
Publisher: Cambridge University Press
Print publication year: 2015

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  • Sentiment Lexicon Generation
  • Bing Liu, University of Illinois, Urbana-Champaign
  • Book: Sentiment Analysis
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139084789.008
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  • Sentiment Lexicon Generation
  • Bing Liu, University of Illinois, Urbana-Champaign
  • Book: Sentiment Analysis
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139084789.008
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.

  • Sentiment Lexicon Generation
  • Bing Liu, University of Illinois, Urbana-Champaign
  • Book: Sentiment Analysis
  • Online publication: 05 June 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139084789.008
Available formats
×