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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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Published in: | International journal of advanced computer science & applications 2015-01, Vol.6 (2) |
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container_title | International journal of advanced computer science & applications |
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creator | Cao, Yanfang Zhang, Pu Xiong, Anping |
description | 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. |
doi_str_mv | 10.14569/IJACSA.2015.060215 |
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subjects | Algorithms Data mining Sentiment analysis |
title | Sentiment Analysis Based on Expanded Aspect and Polarity-Ambiguous Word Lexicon |
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