The State Capture Recommender System: An Unsupervised Machine Learning Approach to Topic Modelling

The State Capture Commission of Inquiry has piqued the interest of a large number of viewers over the past few years. This research aims to help ease the burden of a user sifting through hundred of videos for a topic of interest through the proposal of a topic extraction based recommender system. With a large textual dataset at disposal, the research investigates the use of topic extraction through the combination of approaches such as Non-Negative Matrix Factorization and Latent Dirichlet Allocation for the construction of an algorithm that will be used for keyword based topic extraction. The result of this will allow the most relevant State Capture video related to a topic being presented to the user.