A Joint Model of Text and Aspect Ratings for Sentiment Summarization

Online reviews are often accompanied with numerical ratings provided by users for a set of service or product aspects. We propose a statistical model which is able to discover corresponding topics in text and extract textual evidence from reviews supporting each of these aspect ratings

• Type: Conference
• Year: 2008
• Where: ACL
• Authors: Ivan Titov, Ryan T. McDonald
• Keywords: ACL 2008, Aspect Ratings, Aspect-based Sentiment Summarization, Computational Linguistics, Numerical Ratings