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Text Data Cleaning and Pre-processing Techniques

Master the art of cleaning and pre-processing text data! This course will teach you the essential techniques to refine text for NLP projects.

Beginner
38m
(20)

Created by Mo

Last Updated Jan 10, 2024

Course Thumbnail
  • Course

Text Data Cleaning and Pre-processing Techniques

Master the art of cleaning and pre-processing text data! This course will teach you the essential techniques to refine text for NLP projects.

Beginner
38m
(20)

Created by Mo

Last Updated Jan 10, 2024

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This course is included in the libraries shown below:

  • AI
  • Data
What you'll learn

Cleaning and pre-processing text data is often the first and most crucial step in NLP.

In this course, Text Data Cleaning and Pre-processing Techniques, you’ll gain the ability to transform raw text into a clean, structured format ready for analysis.

First, you’ll explore the fundamental characteristics of textual data and learn to identify common issues such as noise and missing data.

Next, you’ll discover techniques for cleaning and handling missing data, along with basic noise removal strategies.

Finally, you’ll learn how to utilize advanced text pre-processing techniques, including text normalization, tokenization, and handling special characters and emojis.

When you’re finished with this course, you’ll have the skills and knowledge of text data pre-processing needed to enhance the quality and reliability of your NLP models.

Text Data Cleaning and Pre-processing Techniques
Beginner
38m
(20)
Table of contents

About the author
Mo - Pluralsight course - Text Data Cleaning and Pre-processing Techniques
Mo
38 courses 3.7 author rating 491 ratings

Most AI projects get stuck in the lab. Mo helps you get them into production. As an Enterprise Software Architect, NVIDIA Certified Instructor, and co-host of the Make Tech Work podcast, Mo turns complex cloud, MLOps, and Agentic AI architectures into fast, hands-on lessons that actually stick.

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