Presentation | 2011-05-26 Introduction to Financial Text Mining Kiyoshi IZUMI, Tohgoroh MATSUI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Mood changes about economic conditions could be extracted from enormous textual information on the Web. Recently, some text-mining researches try to find relationship between textual information and market trends. These studies can be expected to reveal information that can not be extorted from numerical data. This paper introduces recent results of financial text-mining researches. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Text mining / financial market / twitter / on-line news / message-board / economic report |
Paper # | AI2011-4 |
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Conference Information | |
Committee | AI |
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Conference Date | 2011/5/19(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 | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Introduction to Financial Text Mining |
Sub Title (in English) | |
Keyword(1) | Text mining |
Keyword(2) | financial market |
Keyword(3) | |
Keyword(4) | on-line news |
Keyword(5) | message-board |
Keyword(6) | economic report |
1st Author's Name | Kiyoshi IZUMI |
1st Author's Affiliation | School of Engineering, The University of Tokyo:PRESTO, JST() |
2nd Author's Name | Tohgoroh MATSUI |
2nd Author's Affiliation | College of Life and Health Sciences, Chubu University:College of Engineering, Chubu University |
Date | 2011-05-26 |
Paper # | AI2011-4 |
Volume (vol) | vol.111 |
Number (no) | 70 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |