727 citations · 1.7k across the 5 of their papers we have counts for
5 papers
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Bo Pang, Lillian Lee
We address the rating-inference problem, wherein rather than simply decide whether a review is "thumbs up" or "thumbs down", as in previous sentiment analysis work, one must determ…
A Matter of Opinion: Sentiment Analysis and Business Intelligence (position paper)
Lillian Lee
A general-audience introduction to the area of "sentiment analysis", the computational treatment of subjective, opinion-oriented language (an example application is determining whe…
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
Bo Pang, Lillian Lee
Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as "thumbs up" or "thumbs down". To determine thi…
Corpus structure, language models, and ad hoc information retrieval
Oren Kurland, Lillian Lee
Most previous work on the recently developed language-modeling approach to information retrieval focuses on document-specific characteristics, and therefore does not take into acco…
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
Regina Barzilay, Lillian Lee
We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. We…