Journal of Shanghai University(Natural Science Edition) ›› 2022, Vol. 28 ›› Issue (1): 170-178.doi: 10.12066/j.issn.1007-2861.2252

• Digital Film and Television Technology • Previous Articles    

Incorporating article information for sentiment analysis of news comments

YANG Yipu1, ZHU Yonghua1(), GAO Haiyan2, GAO Wenjing1   

  1. 1. Shanghai Film Academy, Shanghai University, Shanghai 200072, China
    2. School of Life Sciences, Shanghai University, Shanghai 200444, China
  • Received:2019-12-17 Online:2022-02-28 Published:2020-09-14
  • Contact: ZHU Yonghua E-mail:zyh@shu.edu.cn

Abstract:

News comments reflect people's opinions or sentiments toward news events. Therefore, analysis of news comments is potentially useful for many applications. Traditional methods of sentiment analysis focus on the contents of comments while ignoring the influence of news topics and semantics information from news articles. This study proposes a sentiment analysis approach using support vector machine and $K$-means clustering that considers the impact of news articles on the sentiments of news comments. Experimental results on a news comment dataset demonstrate the effectiveness of our proposed method.

Key words: news comment, sentiment analysis, clustering

CLC Number: