Food Public Opinion Prevention and Control Model Based on Sentiment Analysis

Food Public Opinion Prevention and Control Model Based on Sentiment Analysis

Food public opinion is characterized by its low ignition point, high diffusibility, persistence, and strong negativity, which significantly impact food safety and consumer trust. This paper introduces the Food Public Opinion Prevention and Control (FPOPC) model driven by deep learning and personaliz...

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Bibliographic Details
Main Authors: Leiyang Chen, Xiangzhen Peng, Liang Dong, Zhenyu Wang, Zhidong Shen, Xiaohui Cui
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Foods
Subjects:
food public opinion
food safety
SAE
personalized recommendations
sentiment prediction
Online Access:https://www.mdpi.com/2304-8158/13/22/3697
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