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Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Simon Munzert is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.
Christian Rubba is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.
Peter Meißner is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.
Dominic Nyhuis is the author of Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, published by Wiley.
"About this title" may belong to another edition of this title.
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