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Camembert Fr Covid Tweet Sentiment Classification
This is a French tweet sentiment classification model fine-tuned based on Yanzhu/bertweetfr-base, specifically designed for analyzing sentiment tendencies in COVID-19-related tweets.
Downloads 14
Release Time : 3/2/2022
Model Overview
The model can classify the sentiment of French COVID-19 tweets into negative, neutral, or positive categories.
Model Features
Specialized for COVID-19 Tweets
Optimized specifically for French tweets related to the COVID-19 pandemic.
Multi-sentiment Classification
Capable of identifying negative, neutral, and positive sentiment tendencies in tweets.
Based on BERTweet-fr
Uses the BERTweet-fr model, pre-trained specifically for French tweets, as its foundation.
Model Capabilities
French Text Classification
Sentiment Analysis
Social Media Text Processing
Use Cases
Social Media Monitoring
Epidemic Public Opinion Analysis
Monitor public emotional responses to COVID-19 vaccines and policies.
Accurately identifies 71% of tweet sentiment tendencies.
Crisis Public Relations
Detect negative public opinion in a timely manner and take responsive measures.
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