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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.

Mohamed Echout - Pluralsight course - Text Data Cleaning and Pre-processing Techniques
by Mohamed Echout

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.

Table of contents

About the author

Mohamed Echout - Pluralsight course - Text Data Cleaning and Pre-processing Techniques
Mohamed Echout

Mo brings energy and passion to every lesson, making technology easy to learn and exciting to explore!

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