Using pointwise mutual information to identify implicit features in customer reviews

Authors:
Qi Su;Kun Xiang;Houfeng Wang;Bin Sun;Shiwen Yu
Affiliations:
Institute of Computational Linguistics, School of Electronic Engineering, and Computer Science, Peking University, Beijing, China;Institute of Computational Linguistics, School of Electronic Engineering, and Computer Science, Peking University, Beijing, China;Institute of Computational Linguistics, School of Electronic Engineering, and Computer Science, Peking University, Beijing, China;Institute of Computational Linguistics, School of Electronic Engineering, and Computer Science, Peking University, Beijing, China;Institute of Computational Linguistics, School of Electronic Engineering, and Computer Science, Peking University, Beijing, China
Venue:
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Year:
2006

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Abstract

This paper is concerned with automatic identification of implicit product features expressed in product reviews in the context of opinion question answering. Utilizing a polarity lexicon, we map each adjectives in the lexicon to a set of predefined product features. According to the relationship between those opinion-oriented words and product features, we could identify what feature a review is regarding without the appearance of explicit feature nouns or phrases. The results of our experiments proved the validity of this method.