Exploring Food Safety Emergency Incidents on Sina Weibo: Using Text Mining and Sentiment Evolution
Food safety remains a crucial concern in both public health and societal stability. In the age of information technology, social media has emerged as a pivotal channel for shaping public opinion and disseminating information, exerting a substantial influence on how the public perceives incidents rel...
Saved in:
Main Authors: | Biao Ma, Ruihan Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Journal of Food Protection |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0362028X24002023 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Text Mining Approach to Analyzing the Omnichannel Retail Business Performance of the KlikIndomaret App
by: Akhmad Ghiffary Budianto, et al.
Published: (2024-08-01) -
Sentiment works in small-cap stocks: Japanese stock’s sentiment with language models
by: Masahiro Suzuki, et al.
Published: (2025-06-01) -
Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic
by: Denilson de Oliveira Silva, et al.
Published: (2024-12-01) -
Which Emotions of Social Media Users Lead to Dissemination of Fake News: Sentiment Analysis Towards Covid-19 Vaccine
by: Maide Feyza Er, et al.
Published: (2023-03-01) -
Improving Sentiment Analysis Performance on Imbalanced Moroccan Dialect Datasets Using Resample and Feature Extraction Techniques
by: Zineb Nassr, et al.
Published: (2025-01-01)