Sentiment classification for chinese product reviews using an unsupervised internet-based method

Zi Qiong Zhang, Yi Jun Li, Qiang Ye, Chun Hung Roberts Law

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Sentiment classification aims at mining opinions of customers for a certain product by automatically classifying the reviews into positive or negative opinions. With the fast developing of World Wide Web applications, sentiment classification would have huge opportunity to help automatic analysis of customers' opinions from the web information. Opinion mining will benefit both consumers and sellers. Up to now, it is still a complicated task with great challenge. Though some pioneer researches explored the approaches for English review classification, few works have been done on sentiment classification for Chinese reviews. In this paper, we focus on a specific domain - cell phone review and propose an Internet-based approach for Chinese product review mining. The experimental results show the effectiveness of the proposed approach in sentiment classification for Chinese product reviews.
Original languageEnglish
Title of host publication2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings, ICMSE
Pages3-9
Number of pages7
DOIs
Publication statusPublished - 22 Dec 2008
Event2008 International Conference on Management Science and Engineering 15th Annual Conference, ICMSE - Long Beach, CA, United States
Duration: 10 Sep 200812 Sep 2008

Conference

Conference2008 International Conference on Management Science and Engineering 15th Annual Conference, ICMSE
CountryUnited States
CityLong Beach, CA
Period10/09/0812/09/08

Keywords

  • Chinese product review
  • Internet-based algorithm
  • PMI-IR
  • Sentiment classification

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Electrical and Electronic Engineering

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