Movie Buzz - Movie Success Prediction System Using Machine Learning Model

In today's world, the Film Industry and Technology are developing significantly. In the recent past, Machine Learning calculations have been used to recognize fascinating examples from volumes of data and help the dynamic procedure in business conditions. The achievement pace of a film is greatly dependent on the marketing strategies the producers use on social media. Whether one watches the movie on mobile or in the theatre, it is really important to know what kind of movies people like which will eventually help the producers and directors to make great movies. So we can get to know the prediction for the success of a movie using Machine Learning concepts which will automatically serve the purpose. Days after the film's release are significant, and thus, creation houses place a great deal of significance on moviegoers' assessments, and exposure procedures to influence popular supposition. Also, it will help a lot of cinema hall owners as they need to manage screening for the movie. So we are fetching comments and tweets from YouTube and Twitter API respectively after the release of the trailer of the movie and performing Sentiment analysis on them. Thus, we propose a system to predict box-office movie success using machine learning concepts by analyzing the sentiments of movie-related comments from Twitter and YouTube.