Presentation 2018-12-25
ASSESSING VERACITY OF INFORMATION BASED ON EMOTION ANALYSIS
Fatin Amanina Ahmad Tarmizi, Eiji Kamioka,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Veracity assessment has attracted researchers from many fields including computer science and social science. This is because of the growing number of social platforms, which aids information dissemination to the world. Having said that, exchanging real-time information across the globe could be achieved without great effort. Consequently, this makes the assessment vital to humankind as information that is not credible leaves a substantial negative impact to the society. In this paper, we focus on the assessment of online news veracity using emotion analysis. The results reveal 95% news are correctly classified.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Veracity assessment / Affective science / Text mining
Paper # MoNA2018-48
Date of Issue 2018-12-18 (MoNA)

Conference Information
Committee MoNA
Conference Date 2018/12/25(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Ryoichi Shinkuma(Kyoto Univ.)
Vice Chair Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.)
Secretary Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NEC)
Assistant Ken Usui(KDDI Research) / Kenji Kanai(Waseda Univ.)

Paper Information
Registration To Technical Committee on Mobile Network and Applications
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) ASSESSING VERACITY OF INFORMATION BASED ON EMOTION ANALYSIS
Sub Title (in English)
Keyword(1) Veracity assessment
Keyword(2) Affective science
Keyword(3) Text mining
1st Author's Name Fatin Amanina Ahmad Tarmizi
1st Author's Affiliation Shibaura Institute of Technology(Shibaura Institute of Technology)
2nd Author's Name Eiji Kamioka
2nd Author's Affiliation Shibaura Institute of Technology(Shibaura Institute of Technology)
Date 2018-12-25
Paper # MoNA2018-48
Volume (vol) vol.118
Number (no) MoNA-378
Page pp.pp.55-60(MoNA),
#Pages 6
Date of Issue 2018-12-18 (MoNA)