2.2k citations · 4.1k across the 9 of their papers we have counts for
12 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…
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…
"I'm sorry Dave, I'm afraid I can't do that": Linguistics, Statistics, and Natural Language Processing circa 2001
Lillian Lee
A brief, general-audience overview of the history of natural language processing, focusing on data-driven approaches.Topics include "Ambiguity and language analysis", "Firth things…
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
Regina Barzilay, Lillian Lee
We address the text-to-text generation problem of sentence-level paraphrasing -- a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our approach…