Phase 10 · NLP & Modern AI

Topics

Bag of Words & TF-IDF

Part of the Data Science Roadmap.

Summary

Classic text representation methods — Bag of Words counts word occurrences, TF-IDF weights words by how distinctive they are to a document versus the whole corpus — simple, fast, and still useful baselines.

How to Learn This

  • 1Build a Bag of Words representation for a small set of sample documents.
  • 2Compute TF-IDF scores and identify the most 'distinctive' words per document.
  • 3Learn why TF-IDF often outperforms raw word counts for text classification.
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