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An analysis of 5M Yelp reviews that uses Bayesian models, named entities, decomposition, D3, etc to identify features that predict positive reviews of convenience stores (e.g. Wawa).

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An analysis of 5M Yelp reviews that uses Bayesian models to identify features that predict positive reviews of convenience stores (e.g. Wawa). The models are built in python and the display is javascript (D3 for viz).

Live demo: https://mgs28.github.io/yelp/index.html

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An analysis of 5M Yelp reviews that uses Bayesian models, named entities, decomposition, D3, etc to identify features that predict positive reviews of convenience stores (e.g. Wawa).

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