Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus

  title={Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus},
  author={Peter D. Turney and Michael L. Littman},
The evaluative character of a word is cal led i ts semantic orientation. A positive semantic ori entation impl ies desirabi l i ty (e.g., “ honest” , “ intrepid” ) and a negative semantic orientation impl ies undesi rabi l i ty (e.g., “ disturbing” , “ superf luous” ). This paper introduces a simple algori thm for unsupervised learning of semantic orientation f rom extremely large corpora. The method involves issuing queries to a Web search engine and using pointwise mutual information to… CONTINUE READING
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