Modeling news topics on government youtube channels with latent Dirichlet allocation method

The use of YouTube channels for publication media is increasing. The use of this YouTube channel is also increasingly being used by local governments. The making of topic models is done to trend topics that are currently on various government channels. Topic modeling is done by latent Dirichlet allocation. The problem raised is how to apply this method for modeling Topics on YouTube channels? The research steps include (1) identification of Youtube channels, (2) retrieval of government channel data, (3) modeling. Using the latent Dirichlet allocation method, a model of news topics on the government’s YouTube channel is obtained