articleFeb 1, 2011Closed access

Aspect and sentiment unification model for online review analysis

YJYohan JoAOAlice Oh

Korea Advanced Institute of Science and Technology

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Abstract

User-generated reviews on the Web contain sentiments about detailed aspects of products and services. However, most of the reviews are plain text and thus require much effort to obtain information about relevant details. In this paper, we tackle the problem of automatically discovering what aspects are evaluated in reviews and how sentiments for different aspects are expressed. We first propose Sentence-LDA (SLDA), a probabilistic generative model that assumes all words in a single sentence are generated from one aspect. We then extend SLDA to Aspect and Sentiment Unification Model (ASUM), which incorporates aspect and sentiment together to model sentiments toward different aspects. ASUM discovers pairs of…

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770
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Topics & keywords

Topics
Keywords
  • Unification
  • Computer science
  • Sentiment analysis
  • Sentence
  • Generative grammar
  • Artificial intelligence
  • Probabilistic logic
  • Generative model
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