Heterogeneous text data parallel processing to behavioral anomalies search using machine learning methods and algorithms

The aim of the study is to review and apply machine learning methods and algorithms to detect abnormal user behavior based on text analysis. This article provides an overview of the methods, algorithms and approaches used in the software application under development. Application of machine learning methods and algorithms in implementation of the software application is proposed. Machine learning methods and algorithms used in the UBA system can solve the problems of analyzing data of various directions. Data abnormalities finding ensures a timely response to deviations from the user's behavioral profile, which allows to maintain the integrity of the target data.