Presentation | 2018-06-26 A consideration on the possibility of automatic classifying for anomalous posts on Twitter Ryutaro Ushigome, Takeshi Matsuda, Michio Sonoda, Takeshi Takahashi, Mio Suzuki, Jinhui Chao, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A lot of information has been posted on the SNS, including not only erroneous information and inappropriate writing, but also writing by machine etc. Techniques for detecting and discovering inappropriate postings in SNS have been studied in the past, but it is not easy to automate this and it is a social problem as well. In this paper, unsupervised learning is conducted on data collected from Twitter, one of SNS. Then the result is analyzed to examine whether posts including misinformation or mechanical postings can be classified. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | SNS / Twitter / K-means / unsupervised machine learning |
Paper # | IA2018-9,ICSS2018-9 |
Date of Issue | 2018-06-18 (IA, ICSS) |
Conference Information | |
Committee | ICSS / IA |
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Conference Date | 2018/6/25(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Ehime University |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Internet Security, etc. |
Chair | Yoshiaki Shiraishi(Kobe Univ.) / Katsuyoshi Iida(Hokkaido Univ.) |
Vice Chair | Hiroki Takakura(NII) / Katsunari Yoshioka(Yokohama National Univ.) / Rei Atarashi(IIJ) / Hiroyuki Osaki(Kwansei Gakuin Univ.) / Toru Kondo(Hiroshima Univ.) |
Secretary | Hiroki Takakura(NTT) / Katsunari Yoshioka(NICT) / Rei Atarashi(Tokyo Metropolitan Univ.) / Hiroyuki Osaki(TOYOTA-IT) / Toru Kondo(NEC) |
Assistant | Akira Yamada(KDDI labs.) / Keisuke Kito(Mitsubishi Electric) / Kenji Ohira(Tokushima Univ.) / Ryohei Banno(Tokyo Inst. of Tech.) |
Paper Information | |
Registration To | Technical Committee on Information and Communication System Security / Technical Committee on Internet Architecture |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A consideration on the possibility of automatic classifying for anomalous posts on Twitter |
Sub Title (in English) | |
Keyword(1) | SNS |
Keyword(2) | |
Keyword(3) | K-means |
Keyword(4) | unsupervised machine learning |
1st Author's Name | Ryutaro Ushigome |
1st Author's Affiliation | National Institute of Information and Communication Technology/Chuo University(NICT/Chuo Univ) |
2nd Author's Name | Takeshi Matsuda |
2nd Author's Affiliation | University of Nagasaki(Univ of Nagasaki) |
3rd Author's Name | Michio Sonoda |
3rd Author's Affiliation | National Institute of Information and Communication Technology(NICT) |
4th Author's Name | Takeshi Takahashi |
4th Author's Affiliation | National Institute of Information and Communication Technology(NICT) |
5th Author's Name | Mio Suzuki |
5th Author's Affiliation | National Institute of Information and Communication Technology(NICT) |
6th Author's Name | Jinhui Chao |
6th Author's Affiliation | Chuo University(Chuo Univ) |
Date | 2018-06-26 |
Paper # | IA2018-9,ICSS2018-9 |
Volume (vol) | vol.118 |
Number (no) | IA-108,ICSS-109 |
Page | pp.pp.55-60(IA), pp.55-60(ICSS), |
#Pages | 6 |
Date of Issue | 2018-06-18 (IA, ICSS) |