Use Metrics to Determine LDA Topic Model Size

A More Than 3-Minute Topic Modeling Article

Topic modeling is the automated discovery of semantically meaningful topics within a body of text. Topic models produce categories, expressed as lists of words, that can be used to divide a body of text into useful groupings. The most common algorithm currently used for topic modeling is Latent Dirichlet Allocation (Blei et al. 2003).

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