Build a Text Classification System

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Your question is Build a Text Classification System. Take a moment with it on the right.

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Problem

Scenario

You are building an NLP pipeline that needs to assign text into predefined categories, such as routing support tickets, tagging documents, or labeling incoming messages. You need a practical approach that covers data preparation, feature extraction, model training, and evaluation. The goal is to produce a system that works well on real text, not just a toy dataset.

Question

What are the key steps in building a text classification system?

What this tests

Text preprocessing and tokenization
Feature extraction with TF-IDF or transformer embeddings
Supervised text classification workflow
Evaluation with class-aware metrics such as F1