Tag Archives: WWW-paper

This post is about a paper published in the proceedings of the Word Wide Web conference (WWW).

Paper Discussion: Titov & McDonald (2008a) 1

Modeling Online Reviews with Multi-grain Topic Models - Ivan Titov and Ryan McDonald Characteristics Summary Domain Reviews of products, hotels, and restaurants Sentiment Classes 5-star rating Aspect Detection Method MultiGrain LDA Sentiment Analysis Method PRanking (existing method) Performance Summary Sentiment Analysis Ranking Loss: 0.669 Introduction With the advent of topic models, especially, Latent Dirichlet Allocation […]

Paper Discussion: Mei et al. (2007) 1

Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs - Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, and ChengXiang Zhai Characteristics Summary Domain Weblogs Sentiment Classes Positive / negative Aspect Detection and Sentiment Analysis Topic-Sentiment Mixture Model Performance Summary Positive sentiment model on unseen data: KL-divergence: ~21 Negative sentiment model on unseen data: KL-divergence: […]