Bootstrapping Both Product Features and Opinion Words from Chinese Customer Reviews with Cross-Inducing
نویسندگان
چکیده
We consider the problem of 1 identifying product features and opinion words in a unified process from Chinese customer reviews when only a much small seed set of opinion words is available. In particular, we consider a problem setting motivated by the task of identifying product features with opinion words and learning opinion words through features alternately and iteratively. In customer reviews, opinion words usually have a close relationship with product features, and the association between them is measured by a revised formula of mutual information in this paper. A bootstrapping iterative learning strategy is proposed to alternately both of them. A linguistic rule is adopted to identify lowfrequent features and opinion words. Furthermore, a mapping function from opinion words to features is proposed to identify implicit features in sentence. Empirical results on three kinds of product reviews indicate the effectiveness of our method.
منابع مشابه
A Bootstrapping Method for Finer-Grained Opinion Mining Using Graph Model
Pursuing on the analysis of product reviews, a bootstrapping method is proposed to find the product features and opinion words in iterative steps. Different from conventional methods, a graph model is built to link and measure the relationship between the pairs of product features and opinion words. A rule-based method is presented to get the initial seeds of product features and opinion words ...
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