Movie Analytics

Movie Analytics

EnglishPaperback / softbackPrint on demand
Haughton Dominique
Springer, Berlin
EAN: 9783319094250
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Detailed information

Movies will never be the same after you learn how to analyze movie data, including key data mining, text mining and social network analytics concepts. These techniques may then be used in endless other contexts. In the movie application, this topic opens a lively discussion on the current developments in big data from a data science perspective. This book is geared to applied researchers and practitioners and is meant to be practical. The reader will take a hands-on approach, running text mining and social network analyses with software packages covered in the book. These include R, SAS, Knime, Pajek and Gephi. The nitty-gritty of how to build datasets needed for the various analyses will be discussed as well. This includes how to extract suitable Twitter data and create a co-starring network from the IMDB database given memory constraints. The authors also guide the reader through an analysis of movie attendance data via a realistic dataset from France.
EAN 9783319094250
ISBN 3319094254
Binding Paperback / softback
Publisher Springer, Berlin
Publication date October 12, 2015
Pages 64
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Haughton Dominique; McLaughlin Mark-David; Mentzer, Kevin; Zhang Changan
Illustrations VIII, 64 p. 53 illus., 45 illus. in color.
Edition 1st ed. 2015
Series SpringerBriefs in Statistics