GENAI-13 | Bag of Words (BoW) in NLP: Text Vectorization & Practical Implementation | BOW Vectors

Bag of Words (BoW) is a fundamental NLP technique for text representation, widely used in text classification, sentiment analysis, and machine learning models. In this tutorial, you will learn:

✅ What is Bag of Words (BoW) & How Does It Work?
✅ Converting Text into Numerical Representations Using CountVectorizer
✅ Feature Extraction for Machine Learning & NLP Applications
✅ Storing & Searching BoW Representations in Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate)
✅ Hands-on Practical Implementation in Python

📌 Perfect for AI, NLP & Machine Learning Enthusiasts! 🚀

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📢 GitHub Repo for Code: https://github.com/mukeshbadgujar/Generative-AI-with-Langchain-and-Huggingface

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