Presentation 2012-08-30
Extraction of Sentences Describing Problems from Sales Force Management System Texts
Daigo SUGIHARA, Tomoko OHKUMA, Koji SATAKE, Yasuhide MIURA, Keigo HATTORI, Hiroshi MASUICHI,
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Abstract(in English) Sales persons are recommended to know customers' problems, because knowing customers' problems will lead to better proposals for customers. Knowing problems about services or products provided to their customers will lead to improvement of their services or products. Therefore we tried to extract sentences describing problems from texts in sales force management system, with aim of analyzing various problems or searching problems and solution in the past. Surveying texts in sales force management system, we found out that definition for sentences describing problems we should extract is "Sentences described as object or result for solution, such as troubled situation or desired goal". We defined extraction of sentences describing problems as classification whether input sentence is describing problems or not. Our experimental result showed that our SVM classifier achieved F-measure of 0.40 and the most effective features were those about vocaburaries such as negative expressions from polarity dictionaries and function words representing demand or capability.
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Keyword(in English) SVM / Binary Classificatin / Sentence Extraction / Sales Force Management System / Customers' Problems
Paper # NLC2012-11
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Conference Information
Committee NLC
Conference Date 2012/8/23(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 of Sentences Describing Problems from Sales Force Management System Texts
Sub Title (in English)
Keyword(1) SVM
Keyword(2) Binary Classificatin
Keyword(3) Sentence Extraction
Keyword(4) Sales Force Management System
Keyword(5) Customers' Problems
1st Author's Name Daigo SUGIHARA
1st Author's Affiliation ()
2nd Author's Name Tomoko OHKUMA
2nd Author's Affiliation / Communication Technology Laboratory. Reserch & Technology Group. Fuji Xerox Co., Ltd.
3rd Author's Name Koji SATAKE
3rd Author's Affiliation Communication Technology Laboratory. Reserch & Technology Group. Fuji Xerox Co., Ltd.
4th Author's Name Yasuhide MIURA
4th Author's Affiliation Communication Technology Laboratory. Reserch & Technology Group. Fuji Xerox Co., Ltd.
5th Author's Name Keigo HATTORI
5th Author's Affiliation Communication Technology Laboratory. Reserch & Technology Group. Fuji Xerox Co., Ltd.
6th Author's Name Hiroshi MASUICHI
6th Author's Affiliation
Date 2012-08-30
Paper # NLC2012-11
Volume (vol) vol.112
Number (no) 196
Page pp.pp.-
#Pages 6
Date of Issue