Abstracts of Annual Conference of Japan Society for Management Information
Annual Conference of Japan Society for Management Information 2003 Autumn
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A method to analyze a set of documents besed on Bayesian statistics
*Masayuki Goto, Jun Ito, Takashi Ishida, Tetsuya Sakai, Shigeichi Hirasawa
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Pages 47

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Abstract
In this paper, we consider the Bayesian approach for representation of a set of documents.In the field of representation of a set of documents, many previous models, such as the latent semantic analysis (LSA), the probabilistic latent semantic analysis (PLSA), the Semantic Aggregate Model (SAM), the Bayesian Latent Semantic Analysis (BLSA), and so on, were proposed.In this paper, we formulate the Bayes optimal solutions for estimation of parameters. From the simulation experiments, we can show the effectiveness of the proposal.Moreover, we apply the proposal to analyze the questionnaires with free forms.
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© 2003 by Japan Society for Management Information
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