Discord Mining

Discord mining encompasses the analysis of data from the Discord platform to achieve various objectives, ranging from improving educational interactions and detecting hate speech to identifying anomalies in time series data like building energy consumption. Current research employs techniques such as chatbot integration for interactive learning, matrix profile-based algorithms for efficient anomaly detection in multidimensional data, and the development of parameter-less methods for outlier identification. These efforts contribute to advancements in areas like human-computer interaction, online safety, and data-driven decision-making across diverse fields, improving both the understanding of online communication and the accuracy of predictive models.