Machine learning model dynamic content classification and contextualization

Abstract

Techniques described herein involve providing a dynamic content classification and contextualization system using machine learning models. Embodiments include determining, using a machine learning model, a classification of content contained in an input provided to the machine learning model. Embodiments further include generating, using the machine learning model, a confidence score for the classification. Embodiments further include extracting one or more entities from the content based on determining that the confidence score is below a threshold score. Embodiments further include retrieving, using a language processing machine learning model, contextual data from a searchable knowledge base based on the one or more entities extracted from the content. Embodiments further include generating, using the machine learning model, an updated classification based on the retrieving. Embodiments further include performing an action based on the updated classification.