Skip to main content
skill track

Text Mining with R

Discover text mining in R and learn how to extract exciting insights from tweets, product reviews, and books through sentiment analysis in R. You’ll discover a range of approaches to organizing and analyzing text data from books, articles, documents, and more. You’ll get a primer into regular expressions and look at ways to search for common patterns in text effectively. As you progress, you’ll cover a range of tidyverse packages that can help with text analysis in R, including stringr and tidytext. As well as covering string manipulation and the bag of words technique for text mining in R, you’ll also look at how sentiment analysis works. By the time you finish, you’ll have a firm understanding of text analysis in R and will have the confidence to carry out your own text mining and sentiment analysis.

RClock16 hoursLearn4 courses

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies


1
R
Introduction to Text Analysis in R

Analyze text data in R using the tidy framework.

4 hours

Maham Khan Headshot

Maham Khan

Senior Data Science Content Developer at DataCamp

Track statement of accomplishment

Instructors