A Machine Learning Approach to Predict the Best Film Genre in Order to Produce Successful Films in the Future Based on Online Reviews.

Abstract

"Sri Lanka is a country which had a great film industry, currently dropping its market due to multiple difficulties related to inflation as well as poor technological approaches. When considering the recent films Sri Lankan film industry released, it is tragic that they were not successful as expected by the professionals. Additionally, it is significant that not every movie that is produced by Hollywood or Bollywood achieve the expected rate after the release. Therefore, even the global film market is experiencing the same concern although high standards and sophisticated technological strategies are leveraged in the production phase of the film. Thus, a significant aspect of this drawback is that it is a global issue rather than a problem exists in Sri Lankan industry and it affects the revenue, cost and time producers and crew devote to the production of the movie. With the prediction strategy developed using machine learning, this spotted issue can be resolved to a certain extent. In this research a methodology to predict currently trending movie genres based on online reviews will be presented -thus producers can produce based on that genre. Then, the probability of that movie becoming popular among the target audience increases. In this report problem definition and the background, the previous research findings and the research gap will be discussed along with the project objectives, aims and scope. Moreover, this paper covers the project delivery plan as well as methodologies utilized."