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Text Preprocessing

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Overview

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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

Reviews

4.5 rating at Codecademy based on 22 ratings

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