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customer-emotion-classifier
AhsanFarabi/customer-emotion-classifier
customer-emotion-classifier is a text classification model from AhsanFarabi. Use it when you need a label for a piece of text. The card lists the license as mit.
This repository hosts a high-performance TF-IDF + Logistic Regression text classification model trained on the dair-ai/emotion dataset.
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Public
Updated Aug 18, 2026
Repo size
431 KB
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Repo makeup
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.joblib431 KB · 99%
At a glance
- Task
- Text Classification
- License
- mit
- Access
- Public
- Created
- Aug 18, 2026
- Updated
- Aug 18, 2026
- SHA
- af3aff1e
Try a prompt
Model card
From the Hugging Face model README
Customer Feedback Emotion & Sentiment Classifier
This repository hosts a high-performance TF-IDF + Logistic Regression text classification model trained on the dair-ai/emotion dataset.
Performance & Metrics
- Accuracy: ~86.25%
- Emotions: Joy, Sadness, Love, Anger, Fear, Surprise
Quick Python Inference
import joblib
# Download and load model directly
pipeline = joblib.load("model_pipeline.joblib")
labels = joblib.load("labels.joblib")
text = "I am so happy with this service!"
pred_idx = pipeline.predict([text])[0]
print("Predicted Emotion:", labels[pred_idx])
- Task
- Text Classification
- License
- mit
- Languages
- en
- Created
- Aug 18, 2026
- Updated
- Aug 18, 2026