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Text Mining with Bag-of-Words in R

via Datacamp

Overview

Learn the bag of words technique for text mining with R.

It is estimated that over 70% of potentially usable business information is unstructured, often in the form of text data. Text mining provides a collection of techniques that allows us to derive actionable insights from unstructured data. In this course, we explore the basics of text mining using the bag of words method. The first three chapters introduce a variety of essential topics for analyzing and visualizing text data. The final chapter allows you to apply everything you've learned in a real-world case study to extract insights from employee reviews of two major tech companies.

Syllabus

Jumping into text mining with bag of words
-In this chapter, you'll learn the basics of using the bag of words method for analyzing text data.

Word clouds and more interesting visuals
-This chapter will teach you how to visualize text data in a way that's both informative and engaging.

Adding to your tm skills
-In this chapter, you'll learn more basic text mining techniques based on the bag of words method.

Battle of the tech giants for talent
-This chapter ties everything together with a case study in text mining for HR analytics.

Taught by

EDWARD KWARTLER

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