| Presentation | 2019-02-07 Finding Reliable Rescue Request in Disasters Chenjie Song, Hiroyuki Fujishiro, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A large amount of unverified information circulating on social media has prevented it from being efficiently utilized for relief efforts in the event of natural disasters. We analyzed and revealed particular features of such tweets, based on a dataset of tweets that had actually led to saving lives of people affected by the 2018 west Japan heavy rain disaster, provided and confirmed by Japan Broadcasting Corporation (NHK). We then compared the features to another set of tweets in an attempt to differentiate ones that includes crucial information related to rescue requests. As a result, 71 percent of the tweets we collected based on the features were reliable rescue requests. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | social media / Twitter / disaster information / rescue request |
| Paper # | NLC2018-36 |
| Date of Issue | 2019-01-31 (NLC) |
| Conference Information | |
| Committee | NLC / IPSJ-IFAT |
|---|---|
| Conference Date | 2019/2/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ryukoku University Omiya Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 14th Text Analytics Symposium |
| Chair | Takeshi Sakaki(Hottolink) |
| Vice Chair | Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.) |
| Secretary | Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT) |
| Assistant | Takeshi Kobayakawa(NHK) / Hiroki Sakaji(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Information Fundamentals and Access Technologies |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Finding Reliable Rescue Request in Disasters |
| Sub Title (in English) | Analysis of " Rescue" Tweet in 2018 West Japan Heavy Rain Disaster |
| Keyword(1) | social media |
| Keyword(2) | |
| Keyword(3) | disaster information |
| Keyword(4) | rescue request |
| 1st Author's Name | Chenjie Song |
| 1st Author's Affiliation | Hosei University(Hosei Univ.) |
| 2nd Author's Name | Hiroyuki Fujishiro |
| 2nd Author's Affiliation | Hosei University(Hosei Univ.) |
| Date | 2019-02-07 |
| Paper # | NLC2018-36 |
| Volume (vol) | vol.118 |
| Number (no) | NLC-439 |
| Page | pp.pp.7-12(NLC), |
| #Pages | 6 |
| Date of Issue | 2019-01-31 (NLC) |