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Movie Success Prediction using Public Sentiment Analysis

Given user reviews or comments regarding a movie the system predicts whether the movie will be a hit or flop. The system uses a mixture of machine learning model and statistical data analysis to find the percentage of positive and negative comments to predict the fate of the movie. This project was developed as part of the Artificial Intelligence Lab course (CSE-434).

We publised our work in the "2017 20th International Conference of Computer and Information Technology (ICCIT), Dhaka, 2017". To know about the details of our work you may read our paper which is available in the following link:

DOI: 10.1109/ICCITECHN.2017.8281803

To cite our work follow the following format:

Mahmud, Q. I., Mohaimen, A., Islam, M. S. and Marium-E-Jannat. (2018). A support vector machine mixed with statistical reasoning approach to predict movie success by analyzing public sentiments. 2017 20th International Conference of Computer and Information Technology (ICCIT), Dhaka, 2017, pp. 1-6. DOI: 10.1109/ICCITECHN.2017.8281803

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