Automated data collection with R : a practical guide to Web scraping and text mining / Simon Munzert...[et al.].

By:

Munzert, Simon

Contributor(s):

Material type: Text

TextPublication details: Chichester : John Wiley, c2015.Description: xxii, 452 p. : illustrations ; 25 cmISBN:

9781118834817 (hardback)

Subject(s):

DDC classification:

006.312 23 M971

Contents:

Machine generated contents note: Dedication Table of Contents List of Figures List of Tables Preface 1 Introduction-- 2 HTML-- 3 XML and JSON-- 4 XPath-- 5 HTTP-- 6 AJAX-- 7 SQL and Relational Databases-- 8 Regular Expressions and String Functions-- 9 Scraping the Web-- 10 Statistical Text Processing-- 11 Managing Data Projects-- 12 Collaboration Networks in the U.S. Senate-- 13 Parsing Information from Semi-Structured Documents-- 14 Predicting the 2014 Academy Awards using Twitter-- 15 Mapping the Geographic Distribution of Names-- 16 Gathering Data on Mobile Phones-- 17 Analyzing Sentiments of Product Reviews-- References-- General Index-- Package Index-- Function Index .

Summary: This book provides a unified framework of web scraping and information extraction from text data with R for the social sciences.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	ISI Library, Kolkata	006.312 M971 (Browse shelf(Opens below))	Available		136237

Total holds: 0

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Previous	006.312 M675 Clustering : a data recovery approach /	006.312 M678 On some estimation problems through the sub-linear lens/	006.312 M952 Internet-scale pattern recognition :	006.312 M971 Automated data collection with R :	006.312 M995 Making sense of data II: a practical guide to data visualization advanced data mining methods and applications/	006.312 M995 Making sense of data III: a practical guide to designing interactive data visualization/	006.312 M995 Making sense of data: a practical guide to exploratory data analysis and data mining/	Next

Includes bibliographical references and indexes.

Machine generated contents note: Dedication Table of Contents List of Figures List of Tables Preface
1 Introduction--
2 HTML--
3 XML and JSON--
4 XPath--
5 HTTP--
6 AJAX--
7 SQL and Relational Databases--
8 Regular Expressions and String Functions--
9 Scraping the Web--
10 Statistical Text Processing--
11 Managing Data Projects--
12 Collaboration Networks in the U.S. Senate--
13 Parsing Information from Semi-Structured Documents--
14 Predicting the 2014 Academy Awards using Twitter--
15 Mapping the Geographic Distribution of Names--
16 Gathering Data on Mobile Phones--
17 Analyzing Sentiments of Product Reviews--
References--
General Index--
Package Index--
Function Index .

This book provides a unified framework of web scraping and information extraction from text data with R for the social sciences.

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