A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An extensive set of exercises are presented to guide the reader through each technique. Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. Case studies are featured throughout along with examples for each technique presented. R code and solutions to exercises featured in the book are provided on a supporting website.A Practical Guide to Web Scraping and Text Mining Simon Munzert, Christian Rubba, Peter MeiAner, Dominic Nyhuis ... To this end, we employ tools that are built right into the architecture of all modern operating systems for scheduling the execution of programs. ... On Mac OS open a#39;Terminal, a#39; on Ubuntu find Terminal or press CTRL+ALT+T. 1For recent contributions on the topic, see Bratton and Rouseanbsp;...
|Title||:||Automated Data Collection with R|
|Author||:||Simon Munzert, Christian Rubba, Peter Meißner, Dominic Nyhuis|
|Publisher||:||John Wiley & Sons - 2014-12-18|