Presentation 2021-10-22
Proposal of Twitter Classification and Visualization System by Sentiment Analysis
Taira Miyazaki, Munenari Inoguchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, almost people use SNS (social network media) due to the spread of the Internet. This caused that slander on SNS has been revealed as a social problem, and in some cases, damage such as being forced to commit suicide has occurred. In order to prevent these damages, we tried to find a solution against the issue of slander on SNS. There are various factors and problems in slander on SNS, but in this research, we provide the opportunity for users confused by slander to re-recognize a missed environment that supports those users. As a solution, we designed and developed "Twi-pass", a system that reduces stress caused by communication on SNS and damage caused by slander. In this system, posts on Twitter are classified into positive, neutral, and negative by sentiment analysis, the original text is shown, and the occupancy rate is visualized by a pie-chart. In particular, by including positive and neutral opinions, we made it a mechanism to support the stability of the reader's mind.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Social Media / Twitter / Sentiment Analysis
Paper # ICTSSL2021-25
Date of Issue 2021-10-14 (ICTSSL)

Conference Information
Committee ICTSSL / IEE-SMF / IN
Conference Date 2021/10/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Koichi Gyoda(Shibaura Inst. of Tech.) / / Kenji Ishida(Hiroshima City Univ.)
Vice Chair Munenari Inoguchi(Toyama Univ.) / Tomotaka Wada(Kansai Univ.) / / Kunio Hato(Internet Multifeed)
Secretary Munenari Inoguchi(Synspective) / Tomotaka Wada(Hiroshima City Univ.) / / Kunio Hato(NTT)
Assistant Shunichi Yokoyama(Shinshu Univ.)

Paper Information
Registration To Technical Committee on Information and Communication Technologies for Safe and Secure Life / Technical Committee on Smart Facilities / Technical Committee on Information Networks
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal of Twitter Classification and Visualization System by Sentiment Analysis
Sub Title (in English) Development of "Twi-Pass" as A Prototype System
Keyword(1) Social Media
Keyword(2) Twitter
Keyword(3) Sentiment Analysis
1st Author's Name Taira Miyazaki
1st Author's Affiliation University of Toyama(Univ. of Toyama)
2nd Author's Name Munenari Inoguchi
2nd Author's Affiliation University of Toyama(Univ. of Toyama)
Date 2021-10-22
Paper # ICTSSL2021-25
Volume (vol) vol.121
Number (no) ICTSSL-208
Page pp.pp.42-47(ICTSSL),
#Pages 6
Date of Issue 2021-10-14 (ICTSSL)