JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Opinion Bias Detection Based on Social Opinions for Twitter |
| 영문제목(English Title) |
Opinion Bias Detection Based on Social Opinions for Twitter |
| 저자(Author) |
A-Rong Kwon
Kyung-Soon Lee
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| 원문수록처(Citation) |
VOL 09 NO. 04 PP. 0538 ~ 0547 (2013. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
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, experiments were conducted on four issues using Twitter test collection. The proposed method achieved significant improvements over the baselines. |
| 키워드(Keyword) |
Social opinion
Personal opinion
Bias detection
Sentiment
Target
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| 파일첨부 |
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