Vaishak Suresh
ABSTRACT
The success of a product/service in e-commerce largely depends on the user reviews. A product/service that has a higher average review or rating usually gets picked against a similar product/service with less favorable reviews. Reviews usually have an overall rating, but most of the times there are sub-texts in the review body that describe certain features/aspects of the product. This demonstration presents a system that extracts aspect-specific ratings from reviews and also recommends reviews to users based on their and other users' rating patterns.
- Bing Liu, Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers, May 2012.Google Scholar
- Syeda Roohi, Vaishak Suresh, Aspect based Opinion Mining and Recommendation System for Reviews, Technical Report, San Jose State University, May 2014, available at: http://www.engr.sjsu.edu/meirinaki/papers/SyedaRoohi_VaishakSuresh_295B_Report.pdfGoogle Scholar
- Theresa Wilson, Janyce Wiebe, and Paul Hoffmann, Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis. Proc. of HLT-EMNLP-2005. Google ScholarDigital Library
Index Terms
- Aspect-based opinion mining and recommendationsystem for restaurant reviews
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