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Research Paper | Computer Science | India | Volume 2 Issue 9, September 2013

Predicting Movie Success Using Neural Network

Arundeep Kaur ^[2] | AP Nidhi ^[4]

Abstract: In this research work we have developed a mathematical model for predicting the success class [flop, hit, super hit] of the Indian movies, for doing this we have develop a methodology in which the historical data of each component [e. G actor, actress, director, music]that influences the success or failure of a movie is given is due weightage and then based on multiple thresholds calculated on the basis of descriptive statistics of dataset of each component it is given class [flop, hit, super hit] label. This dataset is then subjected to neural network [LM] based learning algorithm for automating the process and results in terms of match between actual class labels and predicted labels are evaluated. Results show that our strategy of identifying the class of success is highly effective and accurate which apparent from the classification matrix also.

Keywords: Movie prediction, neural network, weights of variables

Edition: Volume 2 Issue 9, September 2013,

Pages: 69 - 71

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