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Predicting box-office success of motion pictures with neural networks
Ramesh Sharda,
Dursun Delen
Research output
:
Contribution to journal
›
Article
›
peer-review
225
Scopus citations
Overview
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Keyphrases
Neural Network
100%
Box Office
100%
Box Office Success
100%
Motion pictures
100%
Theatrical
50%
Performance Measures
25%
Difficult Problem
25%
Point Estimate
25%
Statistical Techniques
25%
Financial Performance
25%
Method Validation
25%
10-fold Cross Validation
25%
Classification Problem
25%
Challenging Problems
25%
Industry Leaders
25%
Flops
25%
Blockbuster
25%
Forecasting Problem
25%
Result Prediction
25%
Exhibitors
25%
Expected Profit
25%
Actual Performance
25%
Decision Aid
25%
Success Rate
25%
Distributor
25%
Movie Success
25%
Mathematics
Neural Network
100%
Motion Picture
100%
Office Receipt
75%
Point Estimate
25%
Statistical Technique
25%
Classification Problem
25%
Performance Measure
25%
Cross-Validation
25%
Engineering
Motion Picture
100%
Performance Measure ψ
50%
Financial Performance
50%
Classification Problem
50%
Point Estimate
50%
Success Rate
50%
Computer Science
Neural Network
100%
Performance Measure
25%
Fold Cross Validation
25%
Classification Problem
25%
Recent Literature
25%
Point Estimate
25%
Statistical Technique
25%
Actual Performance
25%
Economics, Econometrics and Finance
Industry
100%
Expected Revenue
100%