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Paper Abstract and Keywords
Presentation 2015-12-18 11:20
Text Mining of Daily Sales Reports
Nao Wariishi (Kyushu Univ.), Shuichi Mitarai (Lafla Inc.), Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.) AI2015-32
Abstract (in Japanese) (See Japanese page) 
(in English) It is one of the most important issues for companies in any industries to
improve the salespeople's business activities because the improvement
leads to corporate achievements. In many companies, salespeople often
record their activities in their Daily Sales Reports. For example, they record
when they contacted with their customers, what they talked with them,
future outlook of the business talk and so on. In this presentation, by applying
machine learning, we extract the factors which identify the differences of
business activities between salespeople with good sales results and the other salespeople. Furthermore, we evaluate the classification performance using the importance of each factor.
Keyword (in Japanese) (See Japanese page) 
(in English) Daily Sales Reports / Machine Learning / Factor Extraction / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 381, AI2015-32, pp. 37-42, Dec. 2015.
Paper # AI2015-32 
Date of Issue 2015-12-11 (AI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AI2015-32

Conference Information
Committee AI  
Conference Date 2015-12-18 - 2015-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2015-12-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Text Mining of Daily Sales Reports 
Sub Title (in English)  
Keyword(1) Daily Sales Reports  
Keyword(2) Machine Learning  
Keyword(3) Factor Extraction  
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1st Author's Name Nao Wariishi  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Shuichi Mitarai  
2nd Author's Affiliation Lafla Inc. (Lafla Inc.)
3rd Author's Name Takahiko Suzuki  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Sachio Hirokawa  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2015-12-18 11:20:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2015-32 
Volume (vol) vol.115 
Number (no) no.381 
Page pp.37-42 
#Pages 6 
Date of Issue 2015-12-11 (AI) 

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