Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)

Sentiment Classification for Consumer Word-of-Mouth in Chinese: Comparison between Supervised and Unsupervised Approaches

Authors
Ziqing Zhang, Qiang Ye, Wenying Zheng, Yijun Li
Corresponding Author
Ziqing Zhang
Available Online December 2010.
DOI
10.2991/icebi.2010.56How to use a DOI?
Keywords
Sentiment classification, Supervised approach, Semantic orientation approach, Chinese
Abstract

Sentiment classification aims at mining word-of-mouth, reviews of consumers, for a product or service by automatically classifying reviews as positive or negative. Few empirical studies have been conducted in comparing the different effects between machine learning and semantic orientation approaches on Chinese sentiment classification. This paper adopts three supervised learning approaches and a web-based semantic orientation approach, PMI-IR, to Chinese reviews. The results show that SVM outperforms naive bayes and N-gram model on various sizes of training examples, but does not obviously exceeds the semantic orientation approach when the number of training examples is smaller than 300.

Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
Series
Advances in Intelligent Systems Research
Publication Date
December 2010
ISBN
10.2991/icebi.2010.56
ISSN
1951-6851
DOI
10.2991/icebi.2010.56How to use a DOI?
Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ziqing Zhang
AU  - Qiang Ye
AU  - Wenying Zheng
AU  - Yijun Li
PY  - 2010/12
DA  - 2010/12
TI  - Sentiment Classification for Consumer Word-of-Mouth in Chinese: Comparison between Supervised and Unsupervised Approaches
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 405
EP  - 411
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.56
DO  - 10.2991/icebi.2010.56
ID  - Zhang2010/12
ER  -