Abstract
A lot of movies release every day. Predicting success of a movie is a complex task as various factors influence its performance on the box office. Since a huge amount of capital is involved in the production, marketing, promotion and distribution of movies, it has been a topic of interest not just for the viewers, but also for the media and production houses and all others who are involved in these processes since a long time now. So, we decided to perform a study on this topic. For the study, we are using the IMDB dataset. In this Internet age, online publicity plays a major role in the success of a movie, so we felt the need of including sentiment analysis of tweets related to movies in our study. We used a variety of data mining models to get predictions as accurate as possible.
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Mundra, S., Dhingra, A., Kapur, A., Joshi, D. (2019). Prediction of a Movie’s Success Using Data Mining Techniques. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_22
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DOI: https://doi.org/10.1007/978-981-13-1742-2_22
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