abdullawagih1/Natural-Language-Processing-NLP

NLP Notebooks

A collection of Jupyter notebooks covering various Natural Language Processing (NLP) topics. These notebooks provide explanations, examples, and code related to different aspects of NLP.

Notebooks

• Tokenization

  • An introduction to the process of tokenization in NLP.

• Preprocessing

  • Learn about common text preprocessing techniques.

• Bag of Words

  • Understand the concept of Bag of Words in text representation.

• Word Embedding Approaches

  • Explore various word embedding techniques, including Word2Vec and GloVe.

• TF-IDF

  • Explore TF-IDF (Term Frequency-Inverse Document Frequency) as a text representation method.

• Bayes' Theorem in Text Classification

  • Learn how Bayes' Theorem is used in text classification.

References

• NLP Resources 1