Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining
- 8h 55m
- Christian Rubba, Dominic Nyhuis, Peter Meißner, Simon Munzert
- John Wiley & Sons (UK)
- 2015
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.
In this Book
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Introduction
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HTML
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XML and JSON
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XPath
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HTTP
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AJAX
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SQL and Relational Databases
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Regular Expressions and Essential String Functions
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Scraping the Web
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Statistical Text Processing
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Managing Data Projects
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Collaboration Networks in the US Senate
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Parsing Information from Semistructured Documents
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Predicting the 2014 Academy Awards Using Twitter
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Mapping the Geographic Distribution of Names
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Gathering Data on Mobile Phones
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Analyzing Sentiments of Product Reviews
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References
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