Verfügbarkeit: Movie analytics

Movie analytics: a Hollywood introduction to big data

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Bibliographische Detailangaben
Hauptverfasser:	Haughton, Dominique (VerfasserIn), McLaughlin, Mark-David (VerfasserIn), Mentzer, Kevin D. (VerfasserIn), Zhang, Changan (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Cham Springer International Publishing [2014]
Schriftenreihe:	Springerbriefs in statistics
Schlagworte:	Film Statistik Big Data Research UNF Data Mining Movie Analytics Oscar prediction with data Text Mining
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	viii, 64 Seiten Illustrationen 235 mm x 155 mm
ISBN:	9783319094250 3319094254

Internformat

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Datensatz im Suchindex

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adam_text	1 3 5 5 5 8 9 9 12 14 15 15 15 16 16 17 19 19 21 25 25 27 28 30 33 vil Contents What Do We Know About Analyzing Movie Data?................... What Does ‘“Big Data” Mean? The Data Scientist Point of View V isualization of Very Large Networks: The Co-starring Social Network................................................ 1 Intnxluction..............-............................... 2 The IMDb Data............................................. 3 Issues with Large Datasets................................ 4 Configuring Python and Gephi to Use the 64-Bit Libraries.. 4.1 Python............................................... 4.2 Gephi................................................ 5 Visualizations of the Co-starring Network................. 6 The Pajek and Gephi Approaches............................ 6.1 The Gephi Approach................................... 6.2 Loading the Data..................................... 6.3 Partitioning the Data................................ 6.4 Displaying the Network............................... 6.5 Interpreting the Data................................ 7 K-Core Representations of the IMDb Co-starring Network.... 7.1 K-Core Decomposition................................. 8 K-Core Representations of the IMDb Co-starring Network Using LaNet-vi2............................................ Movie Attendance and Trends................................... 1 Importing the Data........................................ 2 Basic Description of the Data............................. 3 Weekly Number of Movie Goers.............................. 4 Evolution of the Weekly Number of Movie Goers............. 5 Trends.................................................... Contents viil Oscar Prediction and Prediction Markets................................. 37 1 Oscar Prediction and Prediction Markets............................ 37 Can We Predict Oscars from Twitter and Movie Review Data?.............. 41 1 Text Mining......................................................... 41 1.1 Twitter Movie Related Data.................................... 41 1.2 IMDb Review Data............................................. 44 2 Future Perspectives........................................... 52 Appendix: Code Needed to Perform the Analyses in Chap. 3............... 55 References.............................................................. 63
any_adam_object	1
author	Haughton, Dominique McLaughlin, Mark-David Mentzer, Kevin D. Zhang, Changan
author_facet	Haughton, Dominique McLaughlin, Mark-David Mentzer, Kevin D. Zhang, Changan
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author_sort	Haughton, Dominique
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dewey-full	310
dewey-hundreds	300 - Social sciences
dewey-ones	310 - Collections of general statistics
dewey-raw	310
dewey-search	310
dewey-sort	3310
dewey-tens	310 - Collections of general statistics
discipline	Allgemeines Wirtschaftswissenschaften
format	Book
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isbn	9783319094250 3319094254
language	English
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physical	viii, 64 Seiten Illustrationen 235 mm x 155 mm
publishDate	2014
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publisher	Springer International Publishing
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series2	Springerbriefs in statistics
spelling	Haughton, Dominique aut Movie analytics a Hollywood introduction to big data Dominique Haughton, Mark-David McLaughlin, Kevin Mentzer, Changan Zhang Cham Springer International Publishing [2014] viii, 64 Seiten Illustrationen 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Springerbriefs in statistics Film (DE-588)4017102-4 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Research UNF Big Data Data Mining Movie Analytics Oscar prediction with data Text Mining Film (DE-588)4017102-4 s Statistik (DE-588)4056995-0 s Big Data (DE-588)4802620-7 s DE-604 McLaughlin, Mark-David aut Mentzer, Kevin D. aut Zhang, Changan aut Erscheint auch als Online-Ausgabe Movie Analytics Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028380335&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Haughton, Dominique McLaughlin, Mark-David Mentzer, Kevin D. Zhang, Changan Movie analytics a Hollywood introduction to big data Film (DE-588)4017102-4 gnd Statistik (DE-588)4056995-0 gnd Big Data (DE-588)4802620-7 gnd
subject_GND	(DE-588)4017102-4 (DE-588)4056995-0 (DE-588)4802620-7
title	Movie analytics a Hollywood introduction to big data
title_auth	Movie analytics a Hollywood introduction to big data
title_exact_search	Movie analytics a Hollywood introduction to big data
title_full	Movie analytics a Hollywood introduction to big data Dominique Haughton, Mark-David McLaughlin, Kevin Mentzer, Changan Zhang
title_fullStr	Movie analytics a Hollywood introduction to big data Dominique Haughton, Mark-David McLaughlin, Kevin Mentzer, Changan Zhang
title_full_unstemmed	Movie analytics a Hollywood introduction to big data Dominique Haughton, Mark-David McLaughlin, Kevin Mentzer, Changan Zhang
title_short	Movie analytics
title_sort	movie analytics a hollywood introduction to big data
title_sub	a Hollywood introduction to big data
topic	Film (DE-588)4017102-4 gnd Statistik (DE-588)4056995-0 gnd Big Data (DE-588)4802620-7 gnd
topic_facet	Film Statistik Big Data
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028380335&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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