Movie Success Predictor

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-28 Number-2
Year of Publication : 2015
Authors : Ajay Prasadh Viswanathan
  10.14445/22312803/IJCTT-V28P115

MLA

Ajay Prasadh Viswanathan "Movie Success Predictor". International Journal of Computer Trends and Technology (IJCTT) V28(2):81-82, October 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The purpose of this research is to build a crew only machine learning model to predict the success of an upcoming movie in terms of box office collection and critic reviews. This paper analyzes factors involved and predicts the success of a movie. Application of the model is primarily for production houses to know whether or not, they should invest millions of dollars and months of time in making the movie.

References
[1] Arundeep Kaur, AP Gurpinder Kaur, Movie Success Predictor,International Journal Of Advanced Computer Science and Software Engineering. June, 2013.
[2] Mestyán M, Yasseri T, Kertész J., Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data,. Published: August 21, 2013.
[3] Sabeeha Mohammed Basheer, Syed Farook “Movie Review Classification and Feature based Summarization of Movie Reviews” International Journal of Computer Trends and Technology (IJCTT)., vol. 4, July. 2013.
[4] Vibha Soni , Meenakshi R Patel. “Unsupervised Opinion Mining From Text Reviews Using SentiWordNet” International Journal of Computer Trends and Technology (IJCTT)., vol. 11, May. 2014.

Keywords
Machine Learning, Prediction, Support Vector Machines, Classification, Supervised Learning.