Machine learning-based processing of logs containing unstructured text data

Abstract

An apparatus comprises at least one processing device configured to obtain logs comprising unstructured text data characterizing issues encountered on information technology assets, to generate, utilizing a transformer-based machine learning model, embeddings for the logs, to select, based on cluster validation metrics determined by processing the embeddings, a target number of clusters, and to determine, utilizing a machine learning-based clustering model that takes as input the target number of clusters, a set of clusters. The at least one processing device is also configured to determine a prioritization of the encountered issues based on identifying associations between respective ones of the clusters and at least one of applications executing on the information technology assets and users of the applications. The at least one processing device is further configured to remediate the encountered issues based on the determined prioritization.