| Presentation | 2017-02-10 Detecting Earthquake Survivors with Serious Mental Damage Tatsuya Aoki, Tetsuya Nasukawa, Katsumasa Yoshikawa, Hiroya Takamura, Manabu Okumura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The 2011 Great East Japan Earthquake and 2016 Kumamoto Earthquakes had a great impact to numerous people all over the world and reconfirmed the importance of anti-disaster measures. Under the big disaster, there are people suffering from some aftereffects such as post traumatic stress disorder. In this study, we detect users who have mental illness symptoms concerning an earthquake. We first focus on the users suffering from an earthquake and track their sentiment behavior before and after the disaster using Twitter as a sensor. Moreover, connecting earthquake survivors and their mental health condition, we aim to extract mental health aware victims. Our results suggest that sentiment deviation and linguistic style during the earthquake period represent user's mental condition, in addition to earthquake-specific word frequency. We believe that this work contributes to early mental health care for people suffering from aftereffects of a huge disaster. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | data mining / mental health / microblog / time series data / personality |
| Paper # | NLC2016-48 |
| Date of Issue | 2017-02-02 (NLC) |
| Conference Information | |
| Committee | NLC / IPSJ-IFAT |
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| Conference Date | 2017/2/9(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroshi Kanayama(IBM) |
| Vice Chair | Makoto Ichise(NTT DoCoMo) / Takeshi Sakaki(Univ. of Tokyo/Hottolink) |
| Secretary | Makoto Ichise(Ryukoku Univ.) / Takeshi Sakaki(Kyushu Inst. of Tech.) |
| Assistant | Ryuichiro Higashinaka(NTT) / Mitsuo Yoshida(Toyohashi Univ. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Information Fundamentals and Access Technologies |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detecting Earthquake Survivors with Serious Mental Damage |
| Sub Title (in English) | |
| Keyword(1) | data mining |
| Keyword(2) | mental health |
| Keyword(3) | microblog |
| Keyword(4) | time series data |
| Keyword(5) | personality |
| 1st Author's Name | Tatsuya Aoki |
| 1st Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 2nd Author's Name | Tetsuya Nasukawa |
| 2nd Author's Affiliation | IBM Research - Tokyo(IBM Research) |
| 3rd Author's Name | Katsumasa Yoshikawa |
| 3rd Author's Affiliation | IBM Research - Tokyo(IBM Research) |
| 4th Author's Name | Hiroya Takamura |
| 4th Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 5th Author's Name | Manabu Okumura |
| 5th Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| Date | 2017-02-10 |
| Paper # | NLC2016-48 |
| Volume (vol) | vol.116 |
| Number (no) | NLC-451 |
| Page | pp.pp.65-70(NLC), |
| #Pages | 6 |
| Date of Issue | 2017-02-02 (NLC) |