Feature and Opinion Mining for Customer Review Summarization

Authors:
Muhammad Abulaish; Jahiruddin;Mohammad Najmud Doja;Tanvir Ahmad
Affiliations:
Department of Computer Science, Jamia Millia Islamia, New Delhi, India;Department of Computer Science, Jamia Millia Islamia, New Delhi, India;Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India;Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

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Abstract

In this paper, we present an opinion mining system to identify product features and opinions from review documents. The features and opinions are extracted using semantic and linguistic analysis of text documents. The polarity of opinion sentences is established using polarity scores of the opinion words through Senti-WordNet to generate a feature-based summary of review documents. The system is also integrated with a visualization module to present feature-based summary of review documents in a comprehendible way.