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- W1982999229 abstract "This paper proposes a generative model that simultaneously detects topics, sentiments, and ratings from review articles. Unlike other sentiment analysis models, our proposal, Joint Sentiment Aspect model (JSA), distinguishes objective and subjective information, for a given item and the corresponding rating, to describe the generative process of each article. For handling these differences, JSA introduces a latent sentiment/aspect class variable into each article and a latent switch variable into each token. These classes allow JSA to project these articles onto a latent space of sentiment/aspect dimensionality. Experiments on review articles show that the proposed model is useful as a generative model." @default.
- W1982999229 created "2016-06-24" @default.
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- W1982999229 date "2012-03-26" @default.
- W1982999229 modified "2023-09-26" @default.
- W1982999229 title "Joint sentiment aspect model" @default.
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- W1982999229 doi "https://doi.org/10.1145/2245276.2245315" @default.
- W1982999229 hasPublicationYear "2012" @default.
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