Presentation	2011-10-10 Analysis of Bankruptcy Information using Clue Words Sachio HIROKAWA, Tetsuya NAKATOH,
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Abstract(in English)	The extraction of the feature words from the search results is an important problem of the document interpretation and summarization. Those documents are determined by the users with the keywords according to their purpose of the analysis. This paper proposes a method to guess the reason and feature words for the target companies of the analysis, which can be specified as the type of business or the reason. The method pays attention to the clue words describing the bankruptcy situation.
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Keyword(in English)	Feature Words / Bankrupty Information / Text Mining
Paper #	TL2011-26,NLC2011-23
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Conference Information
Committee	TL
Conference Date	2011/10/3(1days)
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Paper Information
Registration To	Thought and Language (TL)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Analysis of Bankruptcy Information using Clue Words
Sub Title (in English)
Keyword(1)	Feature Words
Keyword(2)	Bankrupty Information
Keyword(3)	Text Mining
1st Author's Name	Sachio HIROKAWA
1st Author's Affiliation	Research Institute for Information Technology, Kyushu University()
2nd Author's Name	Tetsuya NAKATOH
2nd Author's Affiliation	Research Institute for Information Technology, Kyushu University
Date	2011-10-10
Paper #	TL2011-26,NLC2011-23
Volume (vol)	vol.111
Number (no)	227
Page	pp.pp.-
#Pages	4
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