Presentation 2013-03-05
A Study on Estimating Depressive Tendency Utilizing Large-Scale Tweet Data
Sho TSUGAWA, Yukiko MOGI, Yusuke KIKUCHI, Fumio KISHINO, Kazuyuki FUJITA, Yuichi ITOH, Hiroyuki OHSAKI,
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Abstract(in English) In this paper, we investigate the effectiveness of the record of user's activities in Twitter, which is a popular social media, for estimating user's depressive tendency. We construct multiple regression model to estimate user's depressive tendency from the frequency 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 2 0.45 ) between estimated score obtained from the regression model and the Zung's Self-rating Depression Scale, which is a popular measure for estimating depressive tendency.
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Keyword(in English) Depression / Zung's Self-rating Depression Scale / Twitter / Multiple Regression Analysis
Paper # HCS2012-89
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Committee HCS
Conference Date 2013/2/25(1days)
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Registration To Human Communication Science (HCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Estimating Depressive Tendency Utilizing Large-Scale Tweet Data
Sub Title (in English)
Keyword(1) Depression
Keyword(2) Zung's Self-rating Depression Scale
Keyword(3) Twitter
Keyword(4) Multiple Regression Analysis
1st Author's Name Sho TSUGAWA
1st Author's Affiliation Graduate School of Economics, Osaka University()
2nd Author's Name Yukiko MOGI
2nd Author's Affiliation School of Science and Technology, Kwansei Gakuin University
3rd Author's Name Yusuke KIKUCHI
3rd Author's Affiliation Graduate School of Science and Technology, Kwansei Gakuin University
4th Author's Name Fumio KISHINO
4th Author's Affiliation School of Science and Technology, Kwansei Gakuin University
5th Author's Name Kazuyuki FUJITA
5th Author's Affiliation Graduate School of Information Science and Technology, Osaka University
6th Author's Name Yuichi ITOH
6th Author's Affiliation Graduate School of Information Science and Technology, Osaka University
7th Author's Name Hiroyuki OHSAKI
7th Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2013-03-05
Paper # HCS2012-89
Volume (vol) vol.112
Number (no) 455
Page pp.pp.-
#Pages 6
Date of Issue