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Introduction to Text Analysis in R

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5

(3)

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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

Beginner

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Text is an increasingly important data type in all applications, including marketing analytics. Text can be used to review products and for social media. Because text is cheap and simple to use, it often replaces unstructured data. You must be able organize, clean, summarize, and model text to make the most of what it has to offer. This course will show you how to use the latest tidy tools to quickly start working with text. This course will show you how to organize text and visualize it, perform sentiment analysis, and create and interpret topic maps.

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

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Introduction to the Tidyverse

What You Will Learn

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Analyze text data in R using the tidy framework

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In this course, you will use the latest tidy tools to quickly and easily get started with text

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You will learn how to wrangle and visualize text, perform sentiment analysis, and run and interpret topic models

Course Instructors

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Marc Dotson

Assistant Professor of Marketing, BYU Marriott School of Business

Marc's research is focused on applications of Bayesian inference in marketing, including choice modeling and text analysis. He teaches courses in survey research, conjoint analysis, marketing analytics, and statistical modeling.

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