Search Results - "Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining"

Mapping the Geographic Distribution of Names by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter briefly introduces the visualization of geographic data in R. This can be a difficult task, and if the data do not match the specifications of the…”
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Regular Expressions and Essential String Functions by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…One of the central tasks in web scraping is to collect the relevant information for the research problem from heaps of textual data. Within the unstructured…”
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Managing Data Projects by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…Deploying a successful data collection project requires more than knowledge of web technologies. This chapter focuses on R and operation system functionality…”
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SQL and Relational Databases by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter describes databases, structured query language (SQL), and several R packages that enable to connect to databases and to access the data stored in…”
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XML and JSON by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter begins by looking at a running eXtensible Markup Language (XML) example, and continues with an inspection of the XML syntax. There are several…”
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Gathering Data on Mobile Phones by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter discusses the case studies of gathering data on pricing, costumer rating, and sales ranks of a broad range of mobile phones sold on amazon.com,…”
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XPath by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter presents a broad introduction to the eXtensible Markup Language (XML) Path (XPath) language for querying XML documents. It helps to build an…”
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HTML by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter introduces the fundamentals of Hyper Text Markup Language (HTML) from the perspective of a web data collector. One can learn how to use browsers…”
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Analyzing Sentiments of Product Reviews by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter investigates whether we can make use of the product reviews to estimate the consumer ratings. The authors investigate whether they can estimate…”
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Predicting the 2014 Academy Awards Using Twitter by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…Social media and the social network Twitter, in particular, have attracted the curiosity of scientists from various disciplines. The fact that millions of…”
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HTTP by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…The chapter starts with an introduction to client–server conversation. It discusses the technical details of Hypertext Transfer Protocol (HTTP). The chapter…”
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Parsing Information from Semistructured Documents by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter demonstrates how to construct a parser that is able to transform pure character data into R data structures. As an example one identifies climate…”
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Scraping the Web by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter addresses three main aspects of web scraping with R. The first is how to retrieve data from the Web in different scenarios. The chapter looks at…”
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AJAX by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter introduces Asynchronous JavaScript and eXtensible Markup Language (XML) (AJAX) technologies that turn static into dynamic hyper text markup…”
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Collaboration Networks in the US Senate by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…The inner workings of legislatures are inherently difficult to investigate. Political scientists have been interested in collaborations among parliamentarians…”
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Statistical Text Processing by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This chapter offers a brief introduction to statistical text processing. The Internet is predominantly a vast collection of more or less unclassified text. In…”
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References by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

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Introduction by Munzert, Simon, Rubba, Christian, Meißner, Peter, Nyhuis, Dominic

“…This introductory chapter presents a case study of world heritage sites in danger. The United Nations Educational, Scientific and Cultural Organization…”
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