Text Cleaning and Preprocessing Explained Line by Line | Natural Language Processing — Foundations #

In this episode we break down text cleaning and preprocessing in NLP, line by line. You will learn how to remove noise from raw text, handle stopwords, apply lowercasing, strip punctuation, and build a reusable preprocessing pipeline. What you will learn: Why raw text is noisy and needs cleaning Lowercasing Removing punctuation Removing numbers Stopword removal with NLTK Stripping whitespace and special characters Building a reusable preprocessing pipeline Common mistakes in text cleaning Next up: Stemming and Lemmatization