Paper Title
Predicting Movie Box-Office Success

Predicting the success of movies based on the society’s reaction is a major requirement. A lot of money is invested in the movie industry and contributes a lot to the well-being of many people as the industry is the bread and butter of many people. Production of a film involves crores of rupees and many people’s money is at stake. A movie becoming a flop would result in the loss of money. Therefore, to overcome the adverse effects of losses we are trying to come up with some of machine learning techniques to predict the box office success of movies. The process is accomplished by considering some pre-released features and some post-released features which are collected from various sources. Using machine learning techniques such as Neural Network, Support Vector Machine (SVM) and Natural Language Processing, a movie box-office profit can be predicted. Index terms- Natural Language Processing, Support Vector Machine, Neural Network, Box-Office.