Explainable Neural Network analysis on Movie Success Prediction

Authors

  • S Bhavesh Kumar Vellore Institute of Technology University image/svg+xml
  • Sagar Dhanraj Pande Vellore Institute of Technology University image/svg+xml

DOI:

https://doi.org/10.4108/eetsis.4435

Keywords:

SHAP, ANN, LIME, Glass box model, Black box model, Explanations

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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Published

21-11-2023

How to Cite

1.
Bhavesh Kumar S, Pande SD. Explainable Neural Network analysis on Movie Success Prediction . EAI Endorsed Scal Inf Syst [Internet]. 2023 Nov. 21 [cited 2024 Jun. 14];11(4). Available from: https://publications.eai.eu/index.php/sis/article/view/4435