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Product info

<p/><br></br><p><b> About the Book </b></p></br></br>"This book provides a unified framework of web scraping and information extraction from text data with R for the social sciences"--<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><b>A hands on guide to web scraping and text mining for both beginners and experienced users of R</b></p> <ul> <li>Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL.</li> <li>Provides basic techniques to query web documents and data sets (XPath and regular expressions).</li> <li>An extensive set of exercises are presented to guide the reader through each technique.</li> <li>Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management.</li> <li>Case studies are featured throughout along with examples for each technique presented.</li> <li>R code and solutions to exercises featured in the book are provided on a supporting website.</li> </ul><p/><br></br><p><b> About the Author </b></p></br></br><p><b>Simon Munzert</b> is the author of <i>Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining</i>, published by Wiley.</p> <p><b>Christian Rubba</b> is the author of <i>Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining</i>, published by Wiley.</p> <p><b>Peter Meißner</b> is the author of <i>Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining</i>, published by Wiley.</p> <p><b>Dominic Nyhuis</b> is the author of <i>Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining</i>, published by Wiley.</p>

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