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Selected Works of Magdalini Eirinaki
Article
Aspect-Based Opinion Mining and Recommendation System for Restaurant Reviews
The 8th ACM Conference on Recommender Systems (2014)
  • Vaishak Suresh, San Jose State University
  • Syeda Roohi, San Jose State University
  • Magdalini Eirinaki, San Jose State University
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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.
Keywords
  • Recommendation Engine,
  • feature ranking,
  • sentiment analysis
Disciplines
Publication Date
October, 2014
Publisher Statement
SJSU users: use the following link to login and access the article via SJSU databases.
Citation Information
Vaishak Suresh, Syeda Roohi and Magdalini Eirinaki. "Aspect-Based Opinion Mining and Recommendation System for Restaurant Reviews" The 8th ACM Conference on Recommender Systems (2014)
Available at: http://works.bepress.com/magdalini_eirinaki/36/