Abstract: Generating a “day zero” model as an NLP model that does not need to rely on any specific data obtained from a particular process. As such, the various embodiments are directed to generating a dataset and an NLP model for any industry, field or application that does not have a historical dataset already built that can be utilized. As such, the various embodiments operate to build an applicable data set and NLP model in an automated fashion. This NLP model along with the industry, field or application specific dataset can then be operational on day-zero and provide accurate and relevant results.

Abstract: Artificial intelligence is utilized in gathering, analyzing and processing of user feedback, specifically as pertaining to service quality in a telecommunications system. In response to collecting the feedback data, the system automatically generates reports and initiates remedial measures in response to such user feedback to enhance the performance of the service.