Sentiment Analysis Based on Expanded Aspect and Polarity-Ambiguous Word Lexicon

Abstract

This paper focuses on the task of disambiguating polarity-ambiguous words and the task is reduced to sentiment classification of aspects, which we refer to sentiment expectation instead of semantic orientation widely used in previous researches. Polarity-ambiguous words refer to words like” large, small, high, low ”, which pose a challenging task on sentiment analysis. In order to disambiguate polarity-ambiguous words, this paper constructs the aspect and polarity-ambiguous lexicon using a mutual bootstrapping algorithm. So the sentiment of polarity-ambiguous words in context can be decided collaboratively by the sentiment expectation of the aspects and polarity-ambiguous words’ prior polarity.At sentence level, experiments show that our method is effective in sentiment analysis.

Authors and Affiliations

Yanfang Cao, Pu Zhang, Anping Xiong

Keywords

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  • EP ID EP116620
  • DOI 10.14569/IJACSA.2015.060215
  • Views 91
  • Downloads 0

How To Cite

Yanfang Cao, Pu Zhang, Anping Xiong (2015). Sentiment Analysis Based on Expanded Aspect and Polarity-Ambiguous Word Lexicon. International Journal of Advanced Computer Science & Applications, 6(2), 97-103. https://europub.co.uk/articles/-A-116620