• Jan 05, 2017 News![CFP] 2017 the annual meeting of IJFCC Editorial Board, ICCTD 2017, will be held in Paris, France during March 20-22, 2017.   [Click]
  • Mar 24, 2016 News! IJFCC Vol. 4, No. 4 has been indexed by EI (Inspec).   [Click]
  • Mar 24, 2017 News!Vol.6, No.1 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2012 Vol.1(2): 91-93 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2012.V1.24

Information Extraction of Review Using LIWC

Ji Yeon Lim, Jae Yoel Yoon, Lee Joon Kim, and Ung Mo Kim

Abstract—Social commerce market, which is promoted using a social network service, is getting bigger with the activation of a social network service. If a number of consumers are more than a number which the sellers decide before selling, the deal in social commerce market is completed. It’s actually hard to guarantee money back regarding the reason, so reviews are very important to effect for purchasing the products in social commerce market. It may have different direction of information through background, taste, emotion of the reviewers. At the same time, if the meaning of text information can be extracted, we can have the correct information that we need. This paper shows that we extract the meaning by opinion mining and identifying the user’s basic information and psychological state by LIWC. It gives the correct ratings to consumers who want to purchase products through social commerce market. Also it can be helpful to increase reliability of opinion mining on the other fields.

Index Terms—Social commerce, opinion mining, LIWC, ratings

The authors are with the Information and Communication Engineering Sung Kyun Kwan University 440-746 Suwon, Korea (Tel.: + 82312907218; fax: +82312907219; e-mail: {01039374479,vntlffl, uk3080789}@naver.com, umkim@ece.skku.ac.kr).

[PDF]

Cite: Ji Yeon Lim, Jae Yoel Yoon, Lee Joon Kim, and Ung Mo Kim, "Information Extraction of Review Using LIWC," International Journal of Future Computer and Communication vol. 1, no. 2, pp. 91-93, 2012.

Copyright © 2008-2016. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net