Recognizing depression of social media users from their records of activities
| Project/Area Number |
26870076
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Multimedia database
Web informatics, Service informatics
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| Research Institution | University of Tsukuba |
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Principal Investigator |
Tsugawa Sho 筑波大学, システム情報系, 助教 (40632732)
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | ソーシャルメディア / うつ / 機械学習 / Twitter / ソーシャルウェブ / ビッグデータ / ソーシャルメディアマイニング |
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| Outline of Final Research Achievements |
In recent years, depression is one of significant problems in the world. For the effective treatment of depression, it is important to recognize depressive tendencies of individuals. This study constructed several models to estimate depressive tendency of social media users from the features obtained from user's activities. Through experiments, we showed that using the records of user's activities is effective for recognizing depression. We also showed effective features for recognizing depression of social media users, and the relation between the length of the training period for constructing the models and their estimation accuracy.
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Report
(3 results)
Research Products
(7 results)
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[Journal Article] Recognizing depression from Twitter activity2015
Author(s)
Sho Tsugawa, Y. Kikuchi, F. Kishino, K. Nakajima, Y. Itoh, and H. Ohsaki
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Journal Title
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2015)
Volume: -
Pages: 3187-3196
DOI
Related Report
Peer Reviewed / Acknowledgement Compliant
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