This repository contains the code for the Introduction to Natural Language Processing presentation given at the Quera Data Science Bootcamp in November 2023.

You can find the slides here.

1. Text processing: NLP_preprocessing.ipynb contains the code for the text processing part of the presentation.
2. Text representation: NLP_text_representation.ipynb contains the code for the text representation part of the presentation.
3. Naive Bayes: A from scrach implementation of the Naive Bayes classifier can be found in NLP_naive_bayes.ipynb.
4. Word Embeddings: NLP_word_embeddings.ipynb contains an exploration of word embeddings.
5. Song Recommender: We built a song recommender system using the idea of word2vec. The code for this part can be found in NLP_songs_recommandation.ipynb.

• A brief introduction to NLP, NLU, and NLG
• Tokenization techniques
  • Word-based
  • Character-based
  • Subword-based (Specifically BPE)
• Text normalization
  • Stemming
  • Lemmatization
  • Numerical normalization
• Text Representation
  • One-hot encoding
  • Bag of words
  • TF-IDF
• Naive Bayes
• Embedding methods
  • Word2Vec
  • Doc2Vec

You are free to use any of the materials in this repository for educational purposes. 😊 Feel free to contact me if you have any questions.