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.
[1]
Giuseppe Carenini,et al.
Extracting knowledge from evaluative text
,
2005,
K-CAP '05.
[2]
Hsin-Hsi Chen,et al.
Opinion Extraction, Summarization and Tracking in News and Blog Corpora
,
2006,
AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs.
[3]
Bing Liu,et al.
Mining and summarizing customer reviews
,
2004,
KDD.