Presentation 2013-09-12
Proposal of Sentiment Analysis System by News Article Analysis
Hayaki USUI, Hiroya YOSHIDA,
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Abstract(in English) In recent years, with the development of information technology, information dissemination in many news articles have continued to increase dramatically. There is some possibility that news articles are influenced corporate evaluation and the stock price. For that reason, investors are monitor the news. Therefore, research by news article analysis using text mining, make the predictability of the future's stock price has been done many. In this study, upon realizing the sentiment analysis system by news article analysis, we propose a method that calculate quantitatively of sentiment evaluation by the evaluation expression dictionary that has been scored.
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Keyword(in English) News Article Analysis / Corporate Evaluation / Sentiment Analysis / Evaluation Expression Dictionary
Paper # NLC2013-18
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Committee NLC
Conference Date 2013/9/5(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal of Sentiment Analysis System by News Article Analysis
Sub Title (in English)
Keyword(1) News Article Analysis
Keyword(2) Corporate Evaluation
Keyword(3) Sentiment Analysis
Keyword(4) Evaluation Expression Dictionary
1st Author's Name Hayaki USUI
1st Author's Affiliation Graduate School of Information Technology, Kobe Institute of Conputing()
2nd Author's Name Hiroya YOSHIDA
2nd Author's Affiliation Graduate School of Information Technology, Kobe Institute of Conputing
Date 2013-09-12
Paper # NLC2013-18
Volume (vol) vol.113
Number (no) 213
Page pp.pp.-
#Pages 4
Date of Issue