tidytext serves to bring text data into the “tidyverse”.
It’s text mining for word processing and sentiment analysis using ‘dplyr’, ‘ggplot2’, and other tidy tools.
It provides simple tools to manipulate unstructured text data in such a way that it can be analyzed with tools like dplyr and ggplot2.
The tidytext package structures text data upon the principle of tidy data. As well documented in a chapter of Hadley Wickham’s R for Data Science, three rules make a data set tidy:
- Each variable must have its own column.
- Each observation must have its own row.
- Each value must have its own cell.
Support: GitHub Code Repository
Developer: Julia Silge, David Robinson
License: MIT License
tidytext is written in R. Learn R with our recommended free books and free tutorials.
Return to Natural Language Processing Home Page | Return to R Natural Language Tools Page
|The largest compilation of the best free and open source software in the universe. Each article is supplied with a legendary ratings chart helping you to make informed decisions.|
|Hundreds of in-depth reviews offering our unbiased and expert opinion on software. We offer helpful and impartial information.|
|Replace proprietary software with open source alternatives: Google, Microsoft, Apple, Adobe, IBM, Autodesk, Oracle, Atlassian, Corel, Cisco, Intuit, and SAS.|
|Machine Learning explores practical applications of machine learning and deep learning from a Linux perspective. This is a new series.|
|New to Linux? Read our Linux for Starters series. We start right at the basics and teach you everything you need to know to get started with Linux.|
|Alternatives to popular CLI tools showcases essential tools that are modern replacements for core Linux utilities.|
|Essential Linux system tools focuses on small, indispensable utilities, useful for system administrators as well as regular users.|
|Linux utilities to maximise your productivity. Small, indispensable tools, useful for anyone running a Linux machine.|
|Surveys popular streaming services from a Linux perspective: Amazon Music Unlimited, Myuzi, Spotify, Deezer, Tidal.|
|Saving Money with Linux looks at how you can reduce your energy bills running Linux.|
|Home computers became commonplace in the 1980s. Emulate home computers including the Commodore 64, Amiga, Atari ST, ZX81, Amstrad CPC, and ZX Spectrum.|
|Now and Then examines how promising open source software fared over the years. It can be a bumpy ride.|
|Linux at Home looks at a range of home activities where Linux can play its part, making the most of our time at home, keeping active and engaged.|
|Linux Candy reveals the lighter side of Linux. Have some fun and escape from the daily drudgery.|
|Getting Started with Docker helps you master Docker, a set of platform as a service products that delivers software in packages called containers.|
|Best Free Android Apps. We showcase free Android apps that are definitely worth downloading. There's a strict eligibility criteria for inclusion in this series.|
|These best free books accelerate your learning of every programming language. Learn a new language today!|
|These free tutorials offer the perfect tonic to our free programming books series.|
|Linux Around The World showcases usergroups that are relevant to Linux enthusiasts.|
|Stars and Stripes is an occasional series looking at the impact of Linux in the USA.|