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Bayesian Models for Sentence-Level Subjectivity Detection

This paper proposes subjLDA for sentence-level subjectivity detection by modifying the latent Dirichlet allocation (LDA) model through adding an additional layer to model sentence-level subjectivity labels. A variant, called joint-subjLDA, has also been described. The model inference and parameter estimation algorithms, and Gibbs sampling procedure are presented.

ID: kmi-10-02

Date: 2010

Author(s): Yulan He

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