Word Salad: Relating Food Prices and Descriptions
نویسندگان
چکیده
We investigate the use of language in food writing, specifically on restaurant menus and in customer reviews. Our approach is to build predictive models of concrete external variables, such as restaurant menu prices. We make use of a dataset of menus and customer reviews for thousands of restaurants in several U.S. cities. By focusing on prediction tasks and doing our analysis at scale, our methodology allows quantitative, objective measurements of the words and phrases used to describe food in restaurants. We also explore interactions in language use between menu prices and sentiment as expressed in user reviews.
منابع مشابه
Word Salad: Relating Food Prices and Descriptions Supplementary Material
We conjecture that systematic trends in errors can help detect patterns in restaurant prices. For example, if errors correlate with geography, we may identify regions with higheror lower-than-expected prices. To test this for New York, we retrained our price range predictor using the entirety of New York as the test set, Philadelphia as the dev set, and the remaining cities as training data. We...
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