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, 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.

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