Reisinger et al 2010: Spherical Topic Models

Citation

Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond J. Mooney, "Spherical Topic Models", in Proceedings of the 27th International Conference on Machine Learning (ICML 2010), 2010.

Online version

Reisinger et al 2010

Summary

This is a recent paper that presents Spherical Mixture Model and Variational Inference methods for Latent Dirichlet Allocation, which is a Bayesian generative model for general problems in Topic model.

Brief Description of the method

This paper first formulates the problem as xxx, then discusses the use of and the use of xxx to. In this section, we will first summarize the method they use

Dataset and Experiment Settings

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Experimental Results

The authors performed three major experiments. The first experiment is the . The second experiment explores.

Exp

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Related Papers

This paper is related to many papers in three dimensions.

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