A Coefficient of Determination for Probabilistic Topic Models
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This research proposes a new (old) metric for evaluating goodness of fit in topic models, the coefficient of determination, or R^2. Within the context of topic modeling, R^2 has the same interpretation that it does when used in a broader class of statistical models. Reporting R^2 with topic models addresses two current problems in topic modeling: a lack of standard cross-contextual evaluation metrics for topic modeling and ease of communication with lay audiences. The author proposes that R^2 should be reported as a standard metric when constructing topic models.
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