Research Article
Explainable Neural Network analysis on Movie Success Prediction
@ARTICLE{10.4108/eetsis.4435, author={S Bhavesh Kumar and Sagar Dhanraj Pande}, title={Explainable Neural Network analysis on Movie Success Prediction}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={11}, number={4}, publisher={EAI}, journal_a={SIS}, year={2024}, month={12}, keywords={SHAP, ANN, LIME, Glass box model, Black box model, Explanations}, doi={10.4108/eetsis.4435} }
- S Bhavesh Kumar
Sagar Dhanraj Pande
Year: 2024
Explainable Neural Network analysis on Movie Success Prediction
SIS
EAI
DOI: 10.4108/eetsis.4435
Abstract
These days movies are one of the most important part of entertainment industry and back in the days you could see everyday people standing outside theatres, or watching movies in OTT platforms. But due to busy schedules not many people are watching every movie. They go over the internet and search for top rated movies and go to theatres. And creating a successful movie is no easy job. Thus, this study helps movie producers to consider what are the important factors that influence a movie to be successful. this study applied neural network model to the IMDb dataset and then due to its complex nature in order to achieve the local explainability and global explainability for the enhanced analysis, study have used SHAP (Shapley additive explanations) to analysis.
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