# French Sentiment Analysis

A French sentiment classification model fine-tuned on camembert-base, achieving 89.32% accuracy on the evaluation set

A French tweet sentiment classification model fine-tuned based on camembert-base, capable of classifying French text into positive, negative, or neutral

A French product review sentiment analysis model fine-tuned based on flaubert_small_cased architecture, capable of predicting 1-5 star ratings

French sentiment analysis model based on CamemBERT, fine-tuned on a large-scale dataset of user reviews from Allociné.fr

A French sentiment analysis model fine-tuned based on DistilCamemBERT, with inference time halved while maintaining the same performance.

This is a French sentiment analysis model based on FlauBERT, capable of detecting four types of emotions in text: mixed, negative, neutral, and positive.

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.