Logo

Text Mining with R: A Tidy Approach

Large book cover: Text Mining with R: A Tidy Approach

Text Mining with R: A Tidy Approach
by

Publisher: O'Reilly Media
Number of pages: 194

Description:
With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

Book cover: Rethinking Enterprise Storage: A Hybrid Cloud ModelRethinking Enterprise Storage: A Hybrid Cloud Model
by - Microsoft Press
The book describes a storage architecture that some experts are calling a game changer in the infrastructure industry. Called the Microsoft hybrid cloud storage, it is a way to integrate cloud storage services with traditional enterprise storage.
(4180 views)
Book cover: Understanding Big DataUnderstanding Big Data
by - McGraw-Hill
Big Data represents a new era in data exploration and utilization, and IBM helps clients navigate this transformation. The book reveals how to use Big Data technology to deliver a robust, secure, highly available, enterprise-class Big Data platform.
(7200 views)
Book cover: Data Mining for the MassesData Mining for the Masses
by - Global Text Project
In this book, professor Matt North uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions.
(8210 views)
Book cover: A Little Riak BookA Little Riak Book
by - GitBook
This is a free little book about Riak, a scalable, high availability NoSQL datastore. Riak is an open-source, distributed key/value database for high availability and near-linear scalability. Riak has remarkably high uptime and grows with you.
(5122 views)