"Look Ma, No Hands!" A Parameter-Free Topic Model

10 Sep 2014 Jian Tang Ming Zhang Qiaozhu Mei

It has always been a burden to the users of statistical topic models to predetermine the right number of topics, which is a key parameter of most topic models. Conventionally, automatic selection of this parameter is done through either statistical model selection (e.g., cross-validation, AIC, or BIC) or Bayesian nonparametric models (e.g., hierarchical Dirichlet process)... (read more)

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