Presentation 2007/7/17
Extraction and Analysis of Basis Expressions that Indicate Economic Trends
Hiroki SAKAJI, Hiroyuki SAKAI, Shigeru MASUYAMA,
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Abstract(in English) In this research, we propose a method to automatically extract basis expressions that indicate economic trends from newspaper articles by using a statistical method. We also propose a method to classify them into positive expressions that indicate upbeat, and negative expressions that indicate downturn in economy. It is important to foresee the economic trends for companies, governments and investors to forecast stock places and sales of goods. Therefore, we considered that the companies, governments and investors are able to forecast economic trends by using basis expressions extracted from newspaper articles concerning economic trends. In this time, we extracted basis expressions, and classified them into positive expressions or negative expressions as information to forecast economic trends. We evaluated our methods using NIKKEI newspaper articles from 1990 to 2005. The results showed that the method to extract basis expressions, attained presicion 71.43% and recall 33.33%. The classification method attained F-measure with positive expressions 0.695, and F-measure with negative expressions 0.849.
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Keyword(in English) Economy / Economic Trends / Expression Extraction / Expression Classification
Paper # NLC2007-26
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Conference Information
Committee NLC
Conference Date 2007/7/17(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) Extraction and Analysis of Basis Expressions that Indicate Economic Trends
Sub Title (in English)
Keyword(1) Economy
Keyword(2) Economic Trends
Keyword(3) Expression Extraction
Keyword(4) Expression Classification
1st Author's Name Hiroki SAKAJI
1st Author's Affiliation Toyohashi University of Technology()
2nd Author's Name Hiroyuki SAKAI
2nd Author's Affiliation Toyohashi University of Technology
3rd Author's Name Shigeru MASUYAMA
3rd Author's Affiliation Toyohashi University of Technology
Date 2007/7/17
Paper # NLC2007-26
Volume (vol) vol.107
Number (no) 158
Page pp.pp.-
#Pages 6
Date of Issue