Presentation 2003/2/28
Text mining based on Concept Extraction for eCRM
Yasuhiro TAKAYAMA, Takeyuki AIKAWA, Takahiro ITO, Katsushi SUZUKI, Makoto IMAMURA,
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Abstract(in English) We propose a method to support text analysis of open anawer in the questionnaire. This method is called text mining based on concept extraction. The word and the compound word associations are represented by concept vectors that extracted word co-occurrence from text documents. The concept vectors are also used as the concept index for the text documents. In this method, the synonym dictionary registration is not required for text analysis and the analyzed results registered as the concept vectors are interactively re-usable for the next analysis step.
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Keyword(in English) Text mining / CRM / concept vector / questionnaire analysis
Paper # TL2002-51,NLC2002-93
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Committee TL
Conference Date 2003/2/28(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Text mining based on Concept Extraction for eCRM
Sub Title (in English)
Keyword(1) Text mining
Keyword(2) CRM
Keyword(3) concept vector
Keyword(4) questionnaire analysis
1st Author's Name Yasuhiro TAKAYAMA
1st Author's Affiliation Information Technology RD Center, Mitsubishi Electric Corporation()
2nd Author's Name Takeyuki AIKAWA
2nd Author's Affiliation Information Technology RD Center, Mitsubishi Electric Corporation
3rd Author's Name Takahiro ITO
3rd Author's Affiliation Information Technology RD Center, Mitsubishi Electric Corporation
4th Author's Name Katsushi SUZUKI
4th Author's Affiliation Information Technology RD Center, Mitsubishi Electric Corporation
5th Author's Name Makoto IMAMURA
5th Author's Affiliation Information Technology RD Center, Mitsubishi Electric Corporation
Date 2003/2/28
Paper # TL2002-51,NLC2002-93
Volume (vol) vol.102
Number (no) 688
Page pp.pp.-
#Pages 5
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