Paper: Mining User Reviews: from Specification to Summarization

ACL ID P09-2045
Title Mining User Reviews: from Specification to Summarization
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009

This paper proposes a method to ex- tract product features from user reviews and generate a review summary. This method only relies on product specifica- tions, which usually are easy to obtain. Other resources like segmenter, POS tag- ger or parser are not required. At fea- ture extraction stage, multiple specifica- tions are clustered to extend the vocabu- lary of product features. Hierarchy struc- ture information and unit of measurement information are mined from the specifi- cation to improve the accuracy of feature extraction. At summary generation stage, hierarchy information in specifications is used to provide a natural conceptual view of product features.