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Emotions Detection French

Developed by ac0hik
A French sentiment classification model fine-tuned on camembert-base, achieving 89.32% accuracy on the evaluation set
Downloads 323
Release Time : 12/22/2023

Model Overview

This model is a sentiment classifier fine-tuned on the camembert-base architecture, specifically designed for text sentiment analysis tasks

Model Features

High Accuracy
Achieves 89.32% classification accuracy on the evaluation set
Based on CamemBERT
Uses an excellent French pre-trained model as the foundation
Lightweight Fine-tuning
Requires only 3 training rounds to achieve good performance

Model Capabilities

French text sentiment analysis
Emotion classification

Use Cases

Sentiment Analysis
Social Media Sentiment Monitoring
Analyze the sentiment tendencies of French social media posts
Can accurately identify positive, negative, and other emotions
Customer Feedback Analysis
Automatically classify the sentiment tendencies of French customer reviews
Helps businesses quickly understand customer satisfaction
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