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Sentiment Analysis in R

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Course Report - Sentiment Analysis in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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

Sentiment analysis can be added to your text mining software! Sentiment analysis is used by text miners in marketing, politics, customer service, and many other areas. This course will help you recognize positive and harmful language, and express your emotions. You will also learn how to create captivating visualizations. You will finish the course by applying your sentiment analysis skills to Airbnb reviews to determine what makes a good rental.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Text Mining with Bag-of-Words in R

What You Will Learn

In this course you will learn to identify positive and negative language, specific emotional intent, and make compelling visualizations

You will end the course by applying your sentiment analysis skills to Airbnb reviews to learn what makes for a good rental

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...
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