2.2k citations · 3.6k across the 3 of their papers we have counts for
3 papers
cs.CL2005★ 727 cited
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…
cs.CL2004★ 660 cited
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…
cs.CL2002★ 2.2k cited
Thumbs up? Sentiment Classification using Machine Learning Techniques
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we…