Judging food by its description: a text mining approach examining the most influential words on restaurant menus-Reference-Cited by-同舟云学术

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Judging food by its description: a text mining approach examining the most influential words on restaurant menus

Published:2022-05-13 Issue: Volume: Page:1-16
ISSN:1537-8020
Container-title:Journal of Foodservice Business Research
language:en
Short-container-title:Journal of Foodservice Business Research

Author:

Bai Yunmei¹,Jung Sean (Sangwon)²,Behnke Carl³

Affiliation:

1. School of Hospitality and Tourism Management, Purdue University Marriott Hall, West Lafayette, IN, USA

2. School of Hospitality Administration, Boston University, Brookline, MA, USA

3. School of Hospitality and Tourism Management, Purdue University, West Lafayette, IN, USA

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/15378020.2022.2072153

Reference35 articles.

1. Accounting for Flexibility and Efficiency: A Field Study of Management Control Systems in a Restaurant Chain*

2. The language machine: Psycholinguistics in review

3. Signaling the Green Sell: The Influence of Eco-Label Source, Argument Specificity, and Product Involvement on Consumer Trust

4. Words Jump-Start Vision: A Label Advantage in Object Recognition

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