SpringerBriefs in Statistics

Movie Analytics

A Hollywood Introduction to Big Data

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

  • 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
see more benefits

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-09426-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-09425-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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

“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)

  • What Do We Know About Analyzing Movie Data?

    Haughton, Dominique (et al.)

    Pages 1-2

  • What Does “Big Data” Mean? The Data Scientist Point of View

    Haughton, Dominique (et al.)

    Pages 3-4

  • Visualization of Very Large Networks: The Co-starring Social Network

    Haughton, Dominique (et al.)

    Pages 5-24

  • Movie Attendance and Trends

    Haughton, Dominique (et al.)

    Pages 25-36

  • Oscar Prediction and Prediction Markets

    Haughton, Dominique (et al.)

    Pages 37-39

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-09426-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-09425-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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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 and Tables
8 b/w illustrations, 45 illustrations in colour
Topics