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Text Mining: Bag of Words

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  • 15 Videos
  • 69 Exercises
  • 4 hours 
  • 14,580 Participants
  • 5700 XP

Instructor(s):

Ted Kwartler
Ted Kwartler

Ted started his text mining journey at Amazon when he launched the social media customer service team. Since then, he has held analytical leadership roles at startups and Fortune 100 companies. He has an upcoming book Text Mining with R with Wiley.

Collaborator(s):

Nick Carchedi Nick Carchedi

Tom Jeon Tom Jeon

Jeff Paadre Jeff Paadre

Course Description

It is estimated that over 70% of potentially useable business information is unstructured, often in the form of text data. Text mining provides a collection of techniques that allow us to derive actionable insights from these 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. Then, 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.