---
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