Syrupy Mouthfeel and Hints of Chocolate – Predicting Coffee Review Scores using Text Based Sentiment

01/29/2023

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by   Christopher Lohse, et al.

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This paper uses textual data contained in certified (q-graded) coffee reviews to predict corresponding scores on a scale from 0-100. By transforming this highly specialized and standardized textual data in a predictor space, we construct regression models which accurately capture the patterns in corresponding coffee bean scores.