MTSS: Movie Trailers Surveillance System using Social Media Analytics and Public Mood

Abstract

The movie industry is characterized by high levels of uncertainty due to the difficulties businesses have predicting sales and income since they depend on so many complex elements. Because of the significant movie industry's upfront costs, investors must make decisions based on accurate methodologies to estimate the success or returns of their investments. Due to social networks' widespread use in our daily lives, there is an unprecedented amount of publicly available posts containing emotional triggers that can be analyzed. In this paper, we showcase our movie trailers campaign surveillance system using social media analytics and public mood. The system provides an overall interactive dashboard to users and the capability for further process, analysis, and visualization of data in distinct customized reports. The proposed system also offers a configurable environment to gather metrics from heterogeneous social media platforms and extract advanced analytics through dedicated AI tools for sentiment and emotion extraction. This solution benefits the continuous surveillance of a movie trailer's popularity and supports the success of marketing campaigns.