| Presentation | 2016-06-04 A SVM-based Method of Victim Representation Extraction from Bad-mouth Comments in Social Media Yuki Nakano, Yuki Kawahara, Takashi Inui, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Bad-mouth comments found on the Social media are negative side of information-oriented society. In this paper, we discuss automatic extraction of victim representation from them. In the proposed method, first, we elect victim candidate representations in posts, and deterministically, for each candidate, judge whether or not the candidate term is used as victim representation by using SVM. The judgement starts from a candidate in a position close to the bad-mouth representation. In the experiment, extraction performance of our proposed method was equal to or higher than all of baseline methods, and achieved 57.4% accuracy. Therefore, the proposed method has been shown to be effective. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Social media / Malicious contents / Slander / Bad-mouth / Victim / SVM |
| Paper # | TL2016-6,NLC2016-6 |
| Date of Issue | 2016-05-28 (TL, NLC) |
| Conference Information | |
| Committee | NLC / TL |
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| Conference Date | 2016/6/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Otaru University of Commerce |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Application of natural language proessing and linguistic analysis, and general topic of NLP |
| Chair | Hiroshi Kanayama(IBM) / Masami Suzuki(KDDI R&D Labs.) |
| Vice Chair | Makoto Ichise(NTT DoCoMo) / Takeshi Sakaki(Univ. of Tokyo/Hottolink) / Chiaki Kubomura(Yamano College of Aesthetics) |
| Secretary | Makoto Ichise(Ryukoku Univ.) / Takeshi Sakaki(Kyushu Inst. of Tech.) / Chiaki Kubomura(Ehime Univ.) |
| Assistant | Ryuichiro Higashinaka(NTT) / Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Yasushi Tsubota(Kyoto Univ.) / Nobuyuki Jincho(Waseda Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication / Technical Committee on Thought and Language |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A SVM-based Method of Victim Representation Extraction from Bad-mouth Comments in Social Media |
| Sub Title (in English) | |
| Keyword(1) | Social media |
| Keyword(2) | Malicious contents |
| Keyword(3) | Slander |
| Keyword(4) | Bad-mouth |
| Keyword(5) | Victim |
| Keyword(6) | SVM |
| 1st Author's Name | Yuki Nakano |
| 1st Author's Affiliation | University of Tsukuba(Tsukuba Univ.) |
| 2nd Author's Name | Yuki Kawahara |
| 2nd Author's Affiliation | University of Tsukuba(Tsukuba Univ.) |
| 3rd Author's Name | Takashi Inui |
| 3rd Author's Affiliation | University of Tsukuba(Tsukuba Univ.) |
| Date | 2016-06-04 |
| Paper # | TL2016-6,NLC2016-6 |
| Volume (vol) | vol.116 |
| Number (no) | TL-77,NLC-78 |
| Page | pp.pp.23-28(TL), pp.23-28(NLC), |
| #Pages | 6 |
| Date of Issue | 2016-05-28 (TL, NLC) |