
NLP Text Classification — Custom Classifier for Your Categories
Delivery in
4 days
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What you get with this Offer
I will build and deploy a custom NLP text classifier for your category set — covering data preprocessing, model selection (DistilBERT, RoBERTa, or classical ML for simpler cases), training with your labelled data, evaluation with per-class precision/recall/F1, and a REST API for classifying new text in production. Text classification systems built without per-class evaluation metrics hide the critical problem of high overall accuracy driven by majority-class performance — a support ticket classifier that achieves 85% accuracy by always predicting the most common category is useless for the minority categories that need routing most urgently.
The classifier covers text preprocessing and tokenisation, model training with appropriate class weighting for imbalanced data, cross-validation, per-class metrics, confusion matrix, a FastAPI classification endpoint, and deployment configuration.
The classifier covers text preprocessing and tokenisation, model training with appropriate class weighting for imbalanced data, cross-validation, per-class metrics, confusion matrix, a FastAPI classification endpoint, and deployment configuration.
What the Freelancer needs to start the work
Please share your labelled dataset (text and category columns), your category definitions, your minimum acceptable per-class F1, your deployment environment, and your expected classification volume.
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