Скачать или смотреть NLP 2: NLP Foundations: Text Tokenization and One-Hot Encoding

Computers don't understand English. They understand numbers. In Part 2 of our NLP Foundations series, we tackle the most critical step in the AI pipeline: Text Preprocessing. Before you can train a Transformer or build a chatbot, you must convert raw text into a numerical format.

In this video, we break down:

Corpus & Vocabulary: Setting up your dataset.

Tokenization: Why splitting by space isn't enough (handling punctuation & special characters).

One-Hot Encoding: The simplest way to turn words into vectors (and why it’s essentially a "switchboard" for words).

The "Sparsity" Problem: Why One-Hot Encoding is inefficient for massive datasets and how it leads to the Curse of Dimensionality.

This is the bridge between raw data and the Deep Learning models we will build later.

🚀 Subscribe to see how we solve the "Sparsity" problem in the next video! #TextPreprocessing #DataScience #MachineLearning #Python #NLP #FeatureEngineering