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NLP Academy · Lesson

Beyond Bag-of-Words

Length, readability, and metadata signals.

The Baseline Wall

Bag-of-words and TF-IDF get you a solid first model. But at some point the score stops climbing, and you need richer features to push past it.

What Counts Get Wrong

Word counts ignore everything about a document except which words appear. Tone, length, and structure all carry signal that pure counts throw away.

All lessons in this course

  1. Beyond Bag-of-Words
  2. Character N-Grams for Robustness
  3. Combining Multiple Feature Types
  4. Scaling and Selecting Features
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