SOPING: a Chinese customer review mining system

Authors:
Chao Zhou;Guang Qiu;Kangmiao Liu;Jiajun Bu;Mingcheng Qu;Chun Chen
Affiliations:
Zhejiang University, Hang Zhou, China;Zhejiang University, Hang Zhou, China;Zhejiang University, Hang Zhou, China;Zhejiang University, Hang Zhou, China;Zhejiang University, Hang Zhou, China;Zhejiang University, Hang Zhou, China
Venue:
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2008

Citing 2
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Abstract

With the booming development of the Web, popular Chinese forums enable people to find experienced customers' reviews for products. In order to get an all-around opinion about one product, users need to go through plenty of web pages, which is time-consuming and inefficient. Consequently, automatic review mining and summarization has become a hot research topic recently. However, previous approaches are not applicable for mining Chinese customer reviews. In this paper, we introduce SOPING, a Chinese customer review mining system that mines reviews from forums. Specifically, we propose a novel search-based approach to extract product features and a feature-oriented sentence orientation determination method. Our experimental results show that our proposed techniques are highly effective.