Movie Analytics

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Название:Movie Analytics

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

Издательство: Springer

Год: 2015

Страниц: 64

Язык: English

Формат: pdf

Размер: 4,7 Mb

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

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.