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Text Mining with Bag-of-Words in R

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5

(3)

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$12

$6

49% OFF

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Unstructured business information accounts for 70% of all the useful business information. This is often done using text data. Text mining can be applied to unstructured data to gain actionable insights. This course will introduce you to text mining using the bag of words approach. The first three chapters will cover topics essential to understanding and visualizing text data. The final chapter will allow you to use the information from the first three chapters to gain insight from two employee reviews in major tech companies.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Intermediate R

What You Will Learn

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In this course, we explore the basics of text mining using the bag of words method

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The first three chapters introduce a variety of essential topics for analyzing and visualizing text data

Course Instructors

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Ted Kwartler

Adjunct Professor, Harvard University

Ted Kwartler is the VP, Trusted AI at DataRobot. At DataRobot, Ted sets product strategy for explainable and ethical uses of data technology in the company's application. Ted brings unique insights a...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover

$12

$6

49% OFF

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