E-Commerce Reviews Management System Based on Online Customer Reviews Mining

Author

Bin, Deng ; Peiji, Shao ; Dan, Zhao

Author_Institution

Sch. of Mgmt & Econ., Univ. of Elec. Sci. & Tech. of China, Chengdu, China

fYear

2010

fDate

30-31 Jan. 2010

Firstpage

374

Lastpage

377

Abstract

E-commerce website accumulates a large number of customer reviews for merchandise and online shopping services. E-commerce enterprises and manufacturers could get customer opinion to improve service and merchandise through mining customer reviews. The paper presents a prototype system could be used to track and manage customer reviews, through mining topics and sentiment orientation from online customer reviews. The paper studied Chinese reviews mining processing steps and methods. Finally, this study applied text mining to costumer reviews. Through case study, the method can efficiently identify topics to enterprises.

Keywords

Web sites; data mining; electronic commerce; home shopping; e-commerce Web site; e-commerce reviews management system; merchandise services; online customer reviews mining; online shopping services; text mining; Conference management; Data mining; Information technology; Innovation management; Manufacturing; Merchandise; Mouth; Oceans; Text mining; Underwater communication; E-commerce; online customer reviews; opinion mining; text mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing & Communication, 2010 Intl Conf on and Information Technology & Ocean Engineering, 2010 Asia-Pacific Conf on (CICC-ITOE)

Conference_Location

Macao

Print_ISBN

978-1-4244-5634-5

Electronic_ISBN

978-1-4244-5635-2

Type

conf

DOI

10.1109/CICC-ITOE.2010.100

Filename

5439192