Data-driven integration of multiple sentiment dictionaries for lexicon-based sentiment classification of product reviews

@article{Cho2014DatadrivenIO,
  title={Data-driven integration of multiple sentiment dictionaries for lexicon-based sentiment classification of product reviews},
  author={Heeryon Cho and Songkuk Kim and Jongseo Lee and Jong-Seok Lee},
  journal={Knowl.-Based Syst.},
  year={2014},
  volume={71},
  pages={61-71}
}
In lexicon-based sentiment classification, the problem of contextual polarity must be explicitly handled since it is a major cause for classification error. One way to handle contextual polarity is to revise the prior polarity of the sentiment dictionary to fit the domain. This paper presents a data-driven method of adapting sentiment dictionaries to diverse domains. Our method first merges multiple sentiment dictionaries at the entry word level to expand the dictionary. Then, leveraging the… CONTINUE READING