digital security

In the digital age, the significant increase in information generation and processing is accompanied by a growing threat of unauthorized access, illegal distribution, and use. One of the most promising strategies for protecting information from various cyber threats and malicious attacks is the use of Natural Language Processing (NLP) processors. This article focuses on the methodology of data protection in the context of utilizing Natural Language Processing for sentiment analysis and trend detection.

The article is devoted to a comprehensive study of digital forensics as one of the key and promising areas in the development of modern forensic science in the context of the rapid digitalization of society and the growing role of information and communication technologies in various spheres of life.