Working with text data in R

Apply data wrangling and data visualization methods to text, making text mining easier, more effective, and consistent.
Image credit: displayr.com

Description

Text mining is the process of transforming unstructured text into a structured format to prepare it for analysis. The goal of this lesson is to introduce tools that allow us to move from unstructured text to a structured layout to perform analysis.

Prerequisites

• Basic knowledge of R and RStudio
• Familiarity with the packages dyplr, tidyr, and ggplot2

Learning Goals

• Describe what a token is and how they are used
• Demonstrate how to use stop words
• Create customized stop words
• Provide tools to give structure to unstructured text

Duration

2 hours