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Mbert Corona Tweets Belgium Curfew Support

Developed by DTAI-KULeuven
This model is used to analyze Belgian users' attitudes towards COVID-19 curfew policies, supporting sentiment classification for tweets in Dutch, French, and English.
Downloads 18
Release Time : 3/2/2022

Model Overview

A multilingual BERT-based model specifically designed to determine whether tweets express support or opposition to Belgium's COVID-19 curfew policies. The model was trained using tweets posted by Belgian users in three languages.

Model Features

Multilingual Support
Capable of processing tweet content in Dutch, French, and English.
COVID-19 Policy Analysis
Specialized for attitude analysis towards Belgium's COVID-19 curfew policies.
Time Series Analysis
Can track changes in public attitudes over time and correlate with pandemic data.

Model Capabilities

Tweet Sentiment Classification
Multilingual Text Analysis
Public Attitude Monitoring
Policy Effectiveness Evaluation

Use Cases

Public Health Policy Evaluation
Curfew Policy Public Acceptance Monitoring
Analyze changes in Belgian public attitudes towards COVID-19 curfew measures.
Quantitatively displays the proportion changes in tweets supporting/opposing the curfew.
Pandemic Policy Effectiveness Evaluation
Correlate changes in public attitudes with pandemic data to assess policy effectiveness.
Charts showing the correlation between attitude changes and case numbers.
Social Media Analysis
Multilingual Social Media Monitoring
Simultaneously analyze social media content in Belgium's three main languages.
Provides comprehensive analysis of Belgian public opinion.
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