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# Introduction to the Course
This module covers the basics of natural language processing, including tokenization, stemming, and lemmatization. It also introduces the concept of word embeddings and how they can be used to represent words in vector space.
# Key Topics
- Tokenization
- Stemming
- Lemmatization
- Word Embeddings