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Table of Contents

  • Introduction to NLP and spaCy
  • Installation of spaCy
  • The Doc Object for Processed Text
  • Sentence Detection
  • Tokens in spaCy
  • Stop Words
  • Lemmatization
  • Word Frequency
  • Part-of-Speech Tagging
  • Visualization: Using displaCy
  • Preprocessing Functions
  • Rule-Based Matching Using spaCy
  • Dependency Parsing Using spaCy
  • Tree and Subtree Navigation
  • Shallow Parsing
    • Noun Phrase Detection
    • Verb Phrase Detection
  • Named-Entity Recognition
  • Conclusion
  • Frequently Asked Questions
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