日本感性工学会論文誌
Online ISSN : 1884-5258
Print ISSN : 1884-0833
ISSN-L : 1884-5258
原著論文
Twitterを用いたニュース記事における読み手の感情推定手法の提案とアクセス解析への応用
本間 幸徳萩原 将文
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2013 年 12 巻 1 号 p. 167-174

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In this paper, we propose an estimation of reader's emotion towards news articles using Twitter, and apply this method to the access log analysis of a news website. The proposed estimation method is divided into 3 steps: 1) The system collects tweets about news articles from Twitter. 2) The system tags each tweet with an emotion. 3) The system estimates the reader's emotion towards the news articles using tweets obtained in the second step. The system can tag an article with one or more of 11 emotions (anger, dislike, excitement, fear, like, joy, relief, sadness, shame, surprise, nothing). The experimental result shows the effectiveness of this method using Twitter for estimating the reader's emotion. For access log analysis based on emotion, we collected the access log of a self-produced news website. The system tags each collected news article with emotions using the proposed method. We analyzed the access log by using Hidden Markov model (HMM). As the result of access log analysis, we obtained some interesting findings such as that the users tend to read the article which causes excitement or surprise at the start.

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© 2013 日本感性工学会
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