| license: mit | |
| tags: | |
| - sentiment-analysis | |
| - logistic-regression | |
| - sklearn | |
| - french | |
| language: | |
| - fr | |
| # Carlito-25/sentiment-model-logistic | |
| Modèle de régression logistique pour l'analyse de sentiment | |
| ## Usage | |
| ```python | |
| from load_model import load_logistic_model, predict_sentiment | |
| import numpy as np | |
| # Charger le modèle | |
| model = load_logistic_model() | |
| # Prédiction (remplace par tes vraies features) | |
| features = np.array([...]) # Tes features TF-IDF ou Word2Vec | |
| result = predict_sentiment(model, features) | |
| print(result) | |
| ``` | |
| ## Model Details | |
| - **Algorithm**: Logistic Regression (scikit-learn) | |
| - **Features**: TF-IDF/Word2Vec vectors | |
| - **Task**: Sentiment Analysis | |
| - **Training Data**: Custom French YouTube comments dataset | |