This repository contains the complete Python code for implementing the Bag of Words (BoW) model from scratch, as demonstrated in the YouTube tutorial. The code walks through key steps like text preprocessing, tokenization, vocabulary creation, and vectorization to build a BoW representation for text data.
YouTube Tutorial: Bag of Words (BoW) Implementation from Scratch in Python
Features:
- Simple and beginner-friendly implementation.
- Step-by-step comments for better understanding.
- Easily adaptable for various text datasets.
Use this code to practice or as a foundation for more advanced Natural Language Processing (NLP) projects.
Feel free to fork, explore, and contribute! 😊