Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm

  title={Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm},
  author={Jingjing Liu and Stephanie Seneff},
This paper presents a parse-and-paraphrase paradigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous work provides binary polarities only (positive and negative), and the polarity of sentiment is simply reversed when a negation is detected. The extraction of lexical features such as unigram/bigram also complicates the sentiment classification task, as linguistic structure such as implicit long-distance dependency is… CONTINUE READING
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  • In an application involving extracting aspect-based pros and cons from restaurant reviews, we obtained a 45% relative improvement in recall through the use of parsing methods, while also improving precision.


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