It takes the average reader 1 hour and 5 minutes to read Movie Analytics by Dominique Haughton
Assuming a reading speed of 250 words per minute. Learn more
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.
Movie Analytics by Dominique Haughton is 64 pages long, and a total of 16,256 words.
This makes it 22% the length of the average book. It also has 20% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 28 minutes to read Movie Analytics aloud.
Movie Analytics is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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