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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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
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
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) Twitter
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)