On estimating depressive tendencies of Twitter users utilizing their tweet data

Sho Tsugawa, Yukiko Mogi, Yusuke Kikuchi, Fumio Kishino, Kazuyuki Fujita, Yuichi Itoh, Hiroyuki Ohsaki

研究成果: Conference contribution

17 被引用数 (Scopus)

抄録

In this paper, we investigate the effectiveness of the records of user's activities in Twitter, which is a popular microblogging site, for estimating his/her depressive tendency. We construct multiple regression model to estimate user's depressive tendency from the frequencies of words used by the user. We perform experiments to estimate participants' depressive tendencies using the constructed regression model. Our experimental results show that there exists medium positive correlation (correlation coefficient r ≃ 0.45) between the Zung's Self-rating Depression Scale, which is a popular measure for estimating depressive tendency, and estimated score obtained from the regression model.

本文言語English
ホスト出版物のタイトルIEEE Virtual Reality Conference 2013, VR 2013 - Proceedings
DOI
出版ステータスPublished - 2013
外部発表はい
イベント20th IEEE Virtual Reality Conference, VR 2013 - Orlando, FL, United States
継続期間: 2013 3月 162013 3月 20

出版物シリーズ

名前Proceedings - IEEE Virtual Reality

Other

Other20th IEEE Virtual Reality Conference, VR 2013
国/地域United States
CityOrlando, FL
Period13/3/1613/3/20

ASJC Scopus subject areas

  • 工学(全般)

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