—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.
Cao, Y., Zhang, P., & Xiong, A. (2015). Sentiment Analysis Based on Expanded Aspect and Polarity-Ambiguous Word Lexicon. International Journal of Advanced Computer Science and Applications, 6(2). https://doi.org/10.14569/ijacsa.2015.060215