Aspect-Based Opinion Mining and Recommendation System for Restaurant ReviewsThe 8th ACM Conference on Recommender Systems (2014)
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.
- Recommendation Engine,
- feature ranking,
- sentiment analysis
Publication DateOctober, 2014
Citation InformationVaishak 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/