Presentation 2017-09-19
Extracting of Commentary on the Current News from Twitter
Keiichi Mizuka, Yu Suzuki, Akiyo Nadamoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) There are vast amounts of tweets about news article on the Twitter. These tweets are included not only opinions and sentiment but also comment about the news article. However, tweets which are include comment of news article are believed by people even if their credibility is not clear. In this way, sometime these tweets are spread by people. Then we consider that it is an important to raise the alarm over the tweet of whose credibility is not clear. In this paper, as a first step of extracting tweets whose credibility is not clear, we propose a method to extract tweets that have commentary part on news article from the tweet.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Twitter / News / SVM
Paper # DE2017-19
Date of Issue 2017-09-11 (DE)

Conference Information
Committee DE / IPSJ-DBS / IPSJ-IFAT
Conference Date 2017/9/18(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Ochanomizu University
Topics (in Japanese) (See Japanese page)
Topics (in English) Big Data Management, Information Retrieval, Knowledge Discovery, etc.
Chair Akiyo Nadamoto(Konan Univ.)
Vice Chair Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.)
Secretary Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science)
Assistant Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.)

Paper Information
Registration To Technical Committee on Data Engineering / Special Interest Group on Database System / 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) Extracting of Commentary on the Current News from Twitter
Sub Title (in English)
Keyword(1) Twitter
Keyword(2) News
Keyword(3) SVM
1st Author's Name Keiichi Mizuka
1st Author's Affiliation Konan University(Konan Univ)
2nd Author's Name Yu Suzuki
2nd Author's Affiliation NARA INSTITUTE of SCIENCE and TECHNOLOGY(NAIST)
3rd Author's Name Akiyo Nadamoto
3rd Author's Affiliation Konan University(Konan Univ)
Date 2017-09-19
Paper # DE2017-19
Volume (vol) vol.117
Number (no) DE-212
Page pp.pp.111-116(DE),
#Pages 6
Date of Issue 2017-09-11 (DE)