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.

Yanfang Cao, Pu Zhang and Anping Xiong. “Sentiment Analysis Based on Expanded Aspect and Polarity-Ambiguous Word Lexicon”. International Journal of Advanced Computer Science and Applications (IJACSA) 6.2 (2015). http://dx.doi.org/10.14569/IJACSA.2015.060215

@article{Cao2015,
title = {Sentiment Analysis Based on Expanded Aspect and Polarity-Ambiguous Word Lexicon},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060215},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060215},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {2},
author = {Yanfang Cao and Pu Zhang and Anping Xiong}
}