Text Cleaning for AI with Regex
Removing HTML tags, punctuation, URLs, emails — building text preprocessing functions.
Why Clean Text for AI?
Raw text from the web is full of noise: HTML tags, URLs, emails, extra whitespace, special characters. Feeding that to a model wastes capacity and hurts quality.
Regex is the workhorse of text preprocessing. We will build a cleaning pipeline step by step.
A Messy Sample
Here is the kind of string you might scrape. Each cleaning step targets one type of noise.
raw = "<p>Contact us at info@shop.com or visit https://shop.com NOW!!! Thanks</p>"All lessons in this course
- Regex Patterns and Character Classes
- re Module: search, match, findall, sub
- Capturing Groups and Named Groups
- Text Cleaning for AI with Regex