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20022005
most citedThumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews

1.6k citations · 3.7k across the 33 of their papers we have counts for

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cs.CL20048 cited

Human-Level Performance on Word Analogy Questions by Latent Relational Analysis

Peter D. Turney

This paper introduces Latent Relational Analysis (LRA), a method for measuring relational similarity. LRA has potential applications in many areas, including information extraction…

cs.CL200414 cited

Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities

Peter D. Turney

This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system a…

cs.CL2003136 cited

Combining Independent Modules to Solve Multiple-choice Synonym and Analogy Problems

Peter D. Turney, Michael L. Littman, Jeffrey Bigham +1

Existing statistical approaches to natural language problems are very coarse approximations to the true complexity of language processing. As such, no single technique will be best…

cs.CL2003203 cited

Measuring Praise and Criticism: Inference of Semantic Orientation from Association

Peter D. Turney, Michael L. Littman

The evaluative character of a word is called its semantic orientation. Positive semantic orientation indicates praise (e.g., "honest", "intrepid") and negative semantic orientation…

cs.CL20021 cited

Answering Subcognitive Turing Test Questions: A Reply to French

Peter D. Turney

Robert French has argued that a disembodied computer is incapable of passing a Turing Test that includes subcognitive questions. Subcognitive questions are designed to probe the ne…