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SpringerBriefs in Statistics

Movie Analytics

A Hollywood Introduction to Big Data

Authors: Haughton, D., McLaughlin, M.-D., Mentzer, K., Zhang, C.

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  • Current introduction to big data issues through an appealing and surprisingly complex subject: movie analytics
  • Delves into text mining techniques through movie reviews, twitter data and social network analysis
  • Includes visualization of the co-starring network, prediction of Oscar winners and analysis of movie attendance data
  • All methods may be applied to myriad other contexts
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eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-319-09426-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-3-319-09425-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

Reviews

“It covers various approaches and techniques for investigating big data on example of information available from the huge movie industry. … This innovative monograph can serve to lecturers and researchers interested in trying new approaches from movie evaluations in their own studies related to big data, networks, text mining, and complex systems.” (Stan Lipovetsky, Technometrics, Vol. 59 (2), April, 2017)

“This book covers the methods of analyzing big data in order to determine the success of a motion picture, what revenue it will bring in, and even how long it will last at a given location. … it will be most enjoyed by professional statisticians engaged in success prediction.” (James Van Speybroeck, Computing Reviews, January, 2016)


Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-319-09426-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-3-319-09425-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Movie Analytics
Book Subtitle
A Hollywood Introduction to Big Data
Authors
Series Title
SpringerBriefs in Statistics
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-09426-7
DOI
10.1007/978-3-319-09426-7
Softcover ISBN
978-3-319-09425-0
Series ISSN
2191-544X
Edition Number
1
Number of Pages
VIII, 64
Number of Illustrations
8 b/w illustrations, 45 illustrations in colour
Topics