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Course
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Manipulating String Data in R
Learn how to work on string data in R. Use the best add on packages' and perform sentiment analysis on large texts.
What you'll learn
Do you want to learn how to use R to efficiently clean and analyze string data? In this course, Manipulating String Data in R, you will learn multiple techniques that are crucial for string related work. First, you will learn the multiple functions available that help you in handling string or character data. Next, you will be shown the best functions from both R Base as well as the stringr add on package. Then, all common tasks will be demonstrated including: replacing, removing, counting or searching string patterns via regex syntax. Next, you will understand Regex, are invaluable in defining specific patterns in a string. Finally, you will see how sentiment analysis is performed in R, and the sentiment lexicons available for fast and efficient sentiment analysis. When you’re finished with this course, you’ll have the skills and knowledge of string handling needed to work on all sorts of text based data including books, social media feeds and tweets.
Table of contents
- Introduction | 1m 23s
- Managing Expectations | 2m 47s
- Working with Strings: Simple Example | 4m 23s
- Main Problems of Working with Strings | 6m 6s
- Pattern Matching and Replacement with Substitute Functions | 4m 29s
- Regular Expressions | 5m 12s
- Regular Expressions Use Cases and Metacharacters | 7m 3s
- Summary | 1m 30s
About the author
Martin is a trained biostatistician, programmer, consultant and data science enthusiast. His main objective: Explaining data science in a straightforward way. You can find his latest work over at: r-tutorials.com
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