APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR PROCESSING SERVICE MESSAGE DATA OBJECTS VIA UNSUPERVISED MACHINE LEARNING TO PROVIDE SERVICE MESSAGE CLASSIFICATIONS

Original (Chinese)

Methods, apparatuses, or computer program products that process service message data objects via unsupervised machine learning to provide service message classifications. In some examples, a first feature set is extracted from a plurality of service message data objects associated with an application framework, an unsupervised natural language processing model is applied to the first feature set to generate a plurality of topic data objects, a second feature set is extracted from the plurality of topic data objects, a large language model is applied to the second feature set to generate a plurality of theme data objects representative of respective hierarchical theme classifications for the plurality of topic data objects, and a rendering of a dashboard visualization is initiated via an electronic interface based at least in part on the plurality of theme data objects.