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Course 1 : Natural Language Processing (NLP) – Primer

About Course

Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) and linguistics that focuses on the interaction between computers and humans using natural language.

It involves the development of algorithms and techniques to enable computers to understand, interpret, and generate human language in a meaningful way.

Course Content

NLP – overview & Basic processing

  • Quick introduction on NLP
  • Standard tokenization techniques
  • Advanced tokenization methods
  • Stemming and Lemmatization
  • Parts of speech and it’s usage in NLP
  • Other Key pre-processing steps

Understanding Regular Expressions (Regex)
Understanding regular expressions (regex) is crucial for anyone working with text processing, pattern matching, or data extraction tasks.

n-grams in NLP

Key phrase Extraction

Named Entity recognition and Linking

Vectorization & Embedding

Topic Modeling

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