An Analysis of Public Opinions Regarding Take-Away Food Safety: A 2015–2018 Case Study on Sina Weibo

• Published in: Foods Vol. 9; no. 4; p. 511
• Main Authors: Song, Cen, Guo, Chunyu, Hunt, Kyle, Zhuang, Jun
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.04.2020; MDPI
• Subjects: case studies; China; consumer attitudes; Consumers; Consumption; Data analysis; Data collection; Data processing; Dirichlet problem; electronic discussion groups; emotional analysis; Emotions; expert systems; Food contamination & poisoning; Food industry; Food processing industry; Food safety; Food science; information processing; Interdisciplinary subjects; Internet; Natural language processing; Nutrition research; online public opinion; Public opinion; Safety; Social networks; Socioeconomic factors; stakeholders; take-away food; Takeaway food; takeout foods; topic analysis; China; food safety; online public opinion; natural language processing; topic analysis; emotional analysis; take-away food

Take-away food (also referred to as “take-out” food in different regions of the world) is a very convenient and popular dining choice for millions of people. In this article, we collect online textual data regarding “take-away food safety” from Sina Weibo between 2015 and 2018 using the Octopus Coll...