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illustration for Natural Language Processing in JavaScript with Natural
Course

Natural Language Processing in JavaScript with Natural

  1. 1
    Break up language strings into parts using Natural
    1m 25s
  2. 2
    Find the roots of words using stemming in Natural
    1m 33s
  3. 3
    Pluralizing nouns and counting numbers with inflectors in Natural
    1m 6s
  4. 4
    Find sequences of words (n-grams) using Natural
    2m 6s
  5. 5
    Tag parts of speech using Natural
    2m 16s
  6. 6
    Compare similarity of strings through string distance in Natural
    3m 32s
  7. 7
    Classify text into categories with machine learning in Natural
    3m 42s
  8. 8
    Classify JSON text data with machine learning in Natural
    6m 5s
  9. 9
    Using machine learning classifiers in a new project
    2m 3s
  10. 10
    Identify the most important words in a document using tf-idf in Natural
    5m 15s
  11. 11
    Find a word’s definition using WordNet in Natural
    2m 43s
  12. 12
    Search more efficiently with tries using Natural
    1m 40s
  13. 13
    Include spell-check in text projects using Natural
    3m 5s
  14. 14
    Check if words sound alike using Natural
    2m 14s

Classify text into categories with machine learning in Natural

Hannah Davis
InstructorHannah Davis
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In this lesson, we will learn how to train a Naive Bayes classifier or a Logistic Regression classifier - basic machine learning algorithms - in order to classify text into categories.

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