收稿日期: 2019-12-17
网络出版日期: 2020-07-16
基金资助
"十三五"国家重点研发计划项目(2017YFD0400101)
Incorporating article information for sentiment analysis of news comments
Received date: 2019-12-17
Online published: 2020-07-16
杨一璞, 朱永华, 高海燕, 高文靖 . 一种结合文章信息的新闻评论情感分析方法[J]. 上海大学学报(自然科学版), 2022 , 28(1) : 170 -178 . DOI: 10.12066/j.issn.1007-2861.2252
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
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