Text Mining with R: A Tidy Approach
by Julia Silge, David Robinson
Publisher: O'Reilly Media 2019
Number of pages: 194
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.
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by Jacek Laskowski - GitBook
This collections of notes (what some may rashly call a 'book') serves as the ultimate place of mine to collect all the nuts and bolts of using Apache Spark. The notes aim to help me designing and developing better products with Apache Spark.
by Matthew North - 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.
- IBM Redbooks
The book provides lots of information for developers, including code samples for creating PHP applications with DB2, Informix Dynamic Server, and Cloudscape. We use the latest PHP data access extensions including: PHP Data Objects and ibm_db2.
by 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.