Incorporating Content Structure into Text Analysis Applications

  title={Incorporating Content Structure into Text Analysis Applications},
  • Published 2010
Information about the content structure of a document is largely ignored by current text analysis applications such as information extraction and sentiment analysis. This stands in contrast to the linguistic intuition that rich contextual information should benefit such applications. We present a framework which combines a supervised text analysis application with the induction of latent content structure. Both of these elements are learned jointly using the EM algorithm. The induced content… CONTINUE READING
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