Visualization, exploration and shaping conversation data for artificial intelligence-based automated interlocutor training
Abstract:
A system and method for visualizing, exploring and shaping conversational data within a corpus for selective export to train an artificial intelligence-based interlocutor platform, which includes selecting, according to user inputs, a plurality of the conversations for generation of an interactive radial space-filling sunburst-style diagram; responsive to user navigation controls, revising the sunburst diagram to allow provide selection, filtering and modification of the of the text-based interlocutory conversations; and, according to user export controls, formatting and saving at least a portion of the selected and filtered plurality of text-based interlocutory conversations into training data for an artificial intelligence-based automated interlocutor platform.
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