How Duolingo Plans to Reach 100M Users

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Codecademy

Text Preprocessing

via Codecademy

Go to class Write review
Simplilearn Ad

Lead AI-Native Products with Microsoft's Agentic AI Program

Learn More → Coursera Ad

Learn AI, Data Science & Business — Earn Certificates That Get You Hired

Learn More →

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Text is everywhere, and knowing how to clean it will transform your data science skillset. Many in the industry estimate that 80% of data science is data cleaning, including text preprocessing. Transforming text into usable data requires specialized tools and techniques. This course introduces text cleaning with Python 3 using regular expressions (regex) and NLTK.

Syllabus

  • Introduction to Regular Expressions: Get a taste of regular expressions (regex), a powerful search pattern language to quickly find the text you're looking for.
    • Lesson: Introduction to Regular Expressions
    • Quiz: Introduction to Regular Expressions
  • Text Preprocessing: Before most natural language processing tasks, it's necessary to clean up the text data using text preprocessing techniques.
    • Lesson: Text Preprocessing
    • ExternalResource: Natural Language Processing with Python, Chapter 3
    • Article: NLTK with Python 3 for Natural Language Processing
    • Quiz: Text Preprocessing

Taught by

Kenny Lin

Reviews

4.4 rating at Codecademy based on 19 ratings

Start your review of Text Preprocessing

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.