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Featurizing Text: Converting Text into Predictors for ...

Featurizing Text: Converting Text into Predictors forRegression AnalysisDean P. Foster Mark Liberman Robert A. Stine Department of StatisticsThe Wharton School of the University of PennsylvaniaPhiladelphia, PA 19104-6340 October 18, 2013 AbstractModern data streams routinely combine text with the familiar numerical data usedin regression analysis . For example, listings for real estate that show the price of aproperty typically include a verbal description. Some descriptions include numericaldata, such as the number of rooms or the size of the home.

quantitative features extracted from text can elucidate the structure of a model. Key Phrases: sentiment analysis, n-gram, latent semantic analysis, text mining Research supported by NSF grant 1106743 1

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