midNLP
What is text classification?
Updated May 17, 2026
Short answer
Text classification assigns predefined categories to text.
Deep explanation
It uses features like TF-IDF or embeddings with ML models like Naive Bayes, SVM, or transformers to classify documents.
Real-world example
Spam detection and sentiment analysis.
Common mistakes
- Ignoring class imbalance.
Follow-up questions
- What metrics evaluate classification?
- Why use embeddings instead of BoW?