Opinion Bias Detection Based on Social Opinions for Twitter

  title={Opinion Bias Detection Based on Social Opinions for Twitter},
  author={A-Rong Kwon and Kyung-Soon Lee},
In this paper, we propose a bias detection method that is based on personal and social opinions that express contrasting views on competing topics on Twitter. We used unsupervised polarity classification is conducted for learning social opinions on targets. The tf∙idf algorithm is applied to extract targets to reflect sentiments and features of tweets. Our method addresses there being a lack of a sentiment lexicon when learning social opinions. To evaluate the effectiveness of our method… CONTINUE READING

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