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NLP Academy · Lesson

TF-IDF With scikit-learn

Vectorize a corpus in a few lines.

No Need to Hand-Code It

You understand the math, so now let scikit-learn do the heavy lifting. Its TfidfVectorizer turns raw documents into a weighted matrix in a few lines.

Import the Vectorizer

Everything lives in the feature_extraction.text module. Import TfidfVectorizer and you are ready to vectorize any list of text strings.

from sklearn.feature_extraction.text import TfidfVectorizer

All lessons in this course

  1. The Problem With Raw Counts
  2. Term Frequency and Inverse Document Frequency
  3. TF-IDF With scikit-learn
  4. Finding the Most Important Words
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