Bag of Words Explained: Mastering the Fundamentals of NLP
Bag of Words Explained: Mastering the Fundamentals of NLP Welcome to Part 2 of the ' NLP Engineering ' series where I’ll guide you through essential NLP concepts—from theory to practice—with clear explanations and hands-on code examples. Perfect for beginners and seasoned engineers alike!" Natural Language Processing (NLP) requires converting text into numerical formats that machines can understand. One of the fundamental techniques for this transformation is the Bag of Words (BoW) model. In this blog post, I'll explain how BoW works, why it's useful, and demonstrate it with Python code. What is Bag of Words? Bag of Words is a method of representing text data as numerical features. At its core, BoW involves creating a meaningful vocabulary from a corpus of text, which can then be used for various NLP tasks like sentiment analysis, text classification, or document clustering. The name "Bag of...