MPAA Rating Prediction Using Script Analysis for Movies

A movie is a visual work of art that uses film to convey ideas, tales, perceptions, emotions, beauty, and atmosphere in order to recreate an experience. Movies help and inspire social changes, attitudes and other emotions. Exposure to unwanted or unjustified scenes and dialogues can adversely affect the growth of vulnerable parts of society, such as children. The expected outcome of this research paper is to predict the Movie picture association rating based on the script. We extract the relevant movie ratings and propose bidirectional LSTM based models with attention to predict movie rating. We achieve an accuracy of 56% for classification for movies. The model classifies into 5 classes - (R,G, PG,PG-13, NC-17).