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TextPlot: R Library for Visualizing Text Data

Visualize your text data with just one function

Irfan Alghani Khalid
Towards Data Science
6 min readMay 17, 2021

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Photo by Omar Flores on Unsplash

Motivation

Data visualization is an essential task in data science. We can gain insights from the data visualization so it can support our decision for our problems.

Text data is one of the most analyzed data by many people. It is also one of the most complex data because we have to spend a lot of time preprocessing the data, ranging from tokenizing the text, deleting terms that are not meaningful, creating a document term matrix, etc.

Visualizing data like text sometimes can have the same complexities as preprocessing it. Thankfully, there’s a library that can help us to visualize text data. It’s called TextPlot.

TextPlot is a library that is implemented with the R programming language. TextPlot can visualize many things, for example, word frequencies chart, word correlation graph, dependency parsing, and many more.

In this article, I will show you how to use the TextPlot library for visualizing text data using R. Without further, let’s get started!

Implementation

Installation and importing libraries

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Towards Data Science
Towards Data Science

Published in Towards Data Science

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