Course
Text Mining with Bag-of-Words in R
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Prerequisites
Intermediate RJumping into Text Mining with Bag-of-Words
Word Clouds and More Interesting Visuals
Adding to Your TM Skills
Battle of the Tech Giants for Talent
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FAQs
What is the bag-of-words method and when is it useful?
Bag-of-words represents text as word frequency counts, ignoring word order. It is a foundational text mining technique useful for extracting patterns and insights from unstructured text data.
What real-world case study is included in this course?
The final chapter is a case study where you analyze employee reviews of two major tech companies to extract HR analytics insights using all the text mining skills you learned.
Will I learn to create word clouds?
Yes. Chapter 2 focuses on word clouds and other text visualizations that make your text mining results both informative and engaging.
What R prerequisites do I need?
You only need Introduction to R and Intermediate R. No prior text mining or NLP experience is required for this beginner-level course.
How large is this course compared to other DataCamp courses?
It is a substantial course with 4 chapters, 69 exercises, and 5,700 XP. Most learners complete it in about 4 to 5 hours.
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