Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.

Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.

Abstract: A system and method is described for training a machine learning model to label data for trigger identification. The system and method comprising receiving data from a database, extracting content from the data, transforming the data, clustering the data, labeling the data, creating a training dataset and a test data set, and training a classification machine learning model to label data accordingly to identify a trigger.

Abstract: Processes and apparatuses are provided for managing one of a plurality of network manageable devices, each one of the plurality of network manageable devices having a unit of first management information associated therewith. A request is issued to a first computer from a second computer to access the unit of first management information associated with the one of the plurality of network manageable devices. A first data structure is created for storing a unit of first device information for each one of the plurality of network manageable devices with each unit of first device information identifying its respective network manageable device.