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

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, s...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2015-01, Vol.6 (2)
Main Authors: Cao, Yanfang, Zhang, Pu, Xiong, Anping
Format: Article
Language:English
Subjects:
Algorithms
Data mining
Sentiment analysis
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Summary: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.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2015.060215