In the ever-changing landscape of social media with a wide variety of hot events each day, it becomes crucial to grasp the dynamics of public attitude. Public opinions are not only related to what individual users post, but also intertwined with their social circles. Our commitment lies in developing a controversy analysis model that empowers users to understand the controversial aspects of hot events. This website serves as an application developed based on our proposed algorithm for heterogeneous signed attributed network modeling. It encompasses the relevant pipelines of the model, the controversy analysis module, and the sentiment analysis module. Additionally, we provide the raw dataset and the associated code for users' convenience. Furthermore, users have the option to upload their own datasets for controversial analysis in the specified format.