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sentiment-model-logistic
Carlito-25/sentiment-model-logistic
sentiment-model-logistic is a machine learning model from Carlito-25. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sklearn. The card lists the license as mit.
Modèle de régression logistique pour l'analyse de sentiment
Access
Public
Updated Sep 13, 2025
Repo size
63.2 MB
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0
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Repo makeup
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.pkl63.2 MB · 100%
At a glance
- Library
- sklearn
- License
- mit
- Access
- Public
- Created
- Sep 13, 2025
- Updated
- Sep 13, 2025
- SHA
- 2ac8a57b
Model card
From the Hugging Face model README
Carlito-25/sentiment-model-logistic
Modèle de régression logistique pour l'analyse de sentiment
Usage
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
- Library
- sklearn
- License
- mit
- Languages
- fr
- Created
- Sep 13, 2025
- Updated
- Sep 13, 2025