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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 a valuable data type in various applications, including marketing analytics. It is often used for product reviews and social media analysis. Due to its affordability and simplicity, text is frequently used as a replacement for unstructured data. To fully leverage the potential of text, it is crucial to organize, clean, summarize, and model it effectively. This course aims to teach individuals how to utilize the latest tidy tools to start working with text efficiently. Participants will learn how to organize and visualize text, conduct sentiment analysis, and create and interpret topic maps. The course covers various aspects of data analysis using R, including text mining, textual analytics, and sentiment analysis using R. By the end of the course, participants will have gained the necessary skills to perform comprehensive text analysis and sentiment analysis in R. This course is ideal for individuals looking to enhance their understanding of text analysis and sentiment analysis and those interested in utilizing these techniques for marketing analytics purposes.

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

Introduction to the Tidyverse

What You Will Learn

Analyze text data in R using the tidy framework

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

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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