TMDB box office revenue prediction | |
| Author | Kiran, Errabelli Uday |
| Call Number | AIT RSPR no.ICT-19-11 |
| Subject(s) | Data mining Machine Learning Natural language processing (Computer science) |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technologies, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. ICT-19-11 |
| Abstract | Movies Industry is growing day by day. It is a billion-dollar industry. There are thousands of movies released every year. One of the major objectives behind making a movie is earning revenue from it. Movies can be hit, flop or average. Predicting revenue is a real-life problem. I participated in a Kaggle competition to predict the movie revenue. We were giving data of 3,000 movies to train the model and predict the revenue on 5,000 movies. A total of 1,398 teams participated in this competition. We performed data cleaning and feature engineering. We applied 5 Machine Learning algorithms. LightGBM algorithm performed the best, and we ranked at 30th place at the leaderboard. |
| Year | 2019 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ICT-19-11 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Attaphongse Taparugssanagorn; |
| Examination Committee(s) | Guha, Sumanta;Bohez, Erik L.J.;Nicole, Olivier; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2019 |