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
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.
(12732 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.
(10106 views)
Programming Pigby Alan F Gates - O'Reilly Media
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs. The structure of Pig programs is amenable to parallelization, which enables them to handle very large data sets.
(9841 views)
MySQL Tutorialby Jan Bodnar - ZetCode
MySQL is a leading open source database management system. This is MySQL tutorial. It covers the MySQL database, various mysql command line tools and the SQL language covered by the database engine. It is an introductory tutorial for the beginners.
(7019 views)