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

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

doi:10.1109/ICMSE.2008.4668885

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 proceeding › Conference article published in proceeding or book › Academic research › peer-review

10 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 language	English
Title of host publication	2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings, ICMSE
Pages	3-9
Number of pages	7
DOIs	https://doi.org/10.1109/ICMSE.2008.4668885
Publication status	Published - 22 Dec 2008
Event	2008 International Conference on Management Science and Engineering 15th Annual Conference, ICMSE - Long Beach, CA, United States Duration: 10 Sept 2008 → 12 Sept 2008

Conference

Conference	2008 International Conference on Management Science and Engineering 15th Annual Conference, ICMSE
Country/Territory	United States
City	Long Beach, CA
Period	10/09/08 → 12/09/08

Keywords

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

ASJC Scopus subject areas

Management Science and Operations Research
Electrical and Electronic Engineering

More information

10.1109/ICMSE.2008.4668885

Cite this

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title = "Sentiment classification for chinese product reviews using an unsupervised internet-based method",

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.",

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doi = "10.1109/ICMSE.2008.4668885",

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Zhang, ZQ, Li, YJ, Ye, Q & Law, CHR 2008, Sentiment classification for chinese product reviews using an unsupervised internet-based method. in 2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings, ICMSE., 4668885, pp. 3-9, 2008 International Conference on Management Science and Engineering 15th Annual Conference, ICMSE, Long Beach, CA, United States, 10/09/08. https://doi.org/10.1109/ICMSE.2008.4668885

Sentiment classification for chinese product reviews using an unsupervised internet-based method. / Zhang, Zi Qiong; Li, Yi Jun; Ye, Qiang et al.
2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings, ICMSE. 2008. p. 3-9 4668885.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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