DSpace About DSpace Software
個性を持った自立的な人間の創造
    
日本語
 

SEIKEI University Repository >
01:紀要(Bulletin) >
09:理工学研究報告 >
第49巻第2号 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10928/281

Title: 企業の業績発表記事に含まれる業績要因の抽出と最も重要な業績要因の判定
Other Titles: Determination of the Most Important Causal Expression Extracted from Articles Concerning Business Performance of Companies
Authors: 酒井, 浩之
SAKAI, Hiroyuki
Keywords: text mining
information extraction
causal information concerning business performance
determination of the most important causal expression
Issue Date: 1-Dec-2012
Publisher: 成蹊大学理工学部
Abstract: We introduce a method of extracting causal information (e.g., Demand for semi conductor manufacturing equipments is good ) from Japanese _nancial articles concerning business performance of companies. Causal information is useful for investors in selecting companies to invest. Our method automatically extracts causal information as a form of causal expression by using statistical information and initial clue expressions. We extract keywords from Web sites of companies and improve the previous method by using them. Moreover, our method automatically determines the most important causal expression by using these keywords extracted from Web sites of companies.
URI: http://hdl.handle.net/10928/281
Appears in Collections:第49巻第2号

Files in This Item:

File Description SizeFormat
rikougaku-49-2_55-62.pdf2.51 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback