Presentation | 2013-09-12 Proposal of Sentiment Analysis System by News Article Analysis Hayaki USUI, Hiroya YOSHIDA, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | News Article Analysis / Corporate Evaluation / Sentiment Analysis / Evaluation Expression Dictionary |
Paper # | NLC2013-18 |
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Committee | NLC |
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Conference Date | 2013/9/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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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 |