Text Mining with R: A Tidy Approach
by Julia Silge, David Robinson
Publisher: O'Reilly Media 2019
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.
Download or read it online for free here:
Read online
(online html)
Similar books
MySQL- Wikibooks
MySQL is a free, widely used SQL engine. It can be used as a fast database as well as a rock-solid DBMS using a modular engine architecture. The purpose of this wikibook is to provide a practical knowledge on using the database ...
(7506 views)
Understanding Big Databy Chris Eaton, et al. - 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.
(11032 views)
The Little Redis Bookby Karl Seguin - openmymind.net
Redis represents a simplification in the way we deal with data. It peels away much of the complexity and abstraction available in other systems. The goal of this book is to build the foundation you'll need to master Redis.
(8960 views)
Spring Data: Modern Data Access for Enterprise Javaby Mark Pollack, et al. - O'Reilly Media
This book shows you how Spring's data access framework can help you connect to either non-relational or relational databases. You'll learn how Spring Data's model reduces the learning curve for applications with newer data access technologies.
(13694 views)