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This lesson is about the fundamentals of Natural Language Processing (NLP) in Python.

Before joining this course, participants should have:

  • foundational knowledge of Python
  • foundational knowledge of Git and GitHub

Lesson objectives

  • Fundamentals of NLP: Introduce terminology, basic concepts and possible applications of NLP.
  • Data acquisition and Pre-processing: Preprocessing techniques such as tokenization, stemming, lemmatization, and removing stop words
  • Text analysis and feature extraction: Extract features from text, including TF-IDF and word embeddings