Paper: A Statistical NLP Approach for Feature and Sentiment Identification from Chinese Reviews

ACL ID W10-4114
Title A Statistical NLP Approach for Feature and Sentiment Identification from Chinese Reviews
Venue Joint Conference on Chinese Language Processing
Session Main Conference
Year 2010
Authors

Existing methods for extracting features from Chinese reviews only use simplistic syntactic knowledge, while those for identifying sentiments rely heavily on a semantic dictionary. In this paper, we present a systematic technique for identifying features and sentiments, using both syntactic and statistical anal- ysis. We firstly identify candidate fea- tures using a proposed set of common syntactic rules. We then prune irrelevant candidates with topical relevance scores below a cut-off point. We also propose an association analysis method based on likelihood ratio test to infer the polarity of opinion word. The sentiment of a fea- ture is finally adjusted by analyzing the negative modifiers in the local context of the opinion word. Experimental re- sults show that our syste...