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Samuel4650p/customer-support-intent-classifier
customer-support-intent-classifier is a text classification model from Samuel4650p. Use it when you need a label for a piece of text. It is set up for scikit-learn.
A small NLP model that classifies customer-support messages into nine intents using TF-IDF and Logistic Regression.
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Updated Aug 8, 2026
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From the Hugging Face model README
A small NLP model that classifies customer-support messages into nine intents using TF-IDF and Logistic Regression.
password_reset, login_issue, billing_issue, refund_request, performance_issue, subscription_cancel, plan_upgrade, service_outage, general_support
Educational/portfolio demonstration of NLP and customer-support automation. The training data is synthetic and this model is not intended for production use without additional real-world training and evaluation.
import joblib
model = joblib.load("model.joblib")
print(model.predict(["I need to reset my password"]))
Samuel V