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Mbert Corona Tweets Belgium Topics
A multilingual BERT-based model for classifying attitudes towards COVID-19 curfew measures in Belgian tweets
Downloads 27
Release Time : 3/2/2022
Model Overview
This model employs a multilingual BERT architecture, specifically designed to classify tweets from Belgium regarding COVID-19 curfew measures, determining whether the tweet author considers the curfew too strict, too lenient, or appropriate.
Model Features
Multilingual Support
Capable of processing tweets in Dutch, French, and English
COVID-19 Specific Topic Analysis
Specialized in classifying attitudes towards COVID-19 curfew-related tweets
Real-time Monitoring Capability
Can be used to monitor real-time changes in public attitudes towards epidemic prevention measures
Model Capabilities
Multilingual Text Classification
Sentiment Attitude Analysis
Social Media Content Analysis
Use Cases
Public Health Monitoring
Public Attitude Monitoring on Epidemic Prevention Measures
Analyzing changes in Belgian public attitudes towards COVID-19 curfew measures
Can generate trend charts of attitude changes, as shown in chart.png
Social Science Research
Public Sentiment Research During Crises
Studying public emotional responses to government measures during the pandemic
Can be used for academic paper analysis, such as referenced arXiv papers
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