TF-IDF

Automation of Formation of a Specialist's Professional Curriculum Based on Analysis of Vacancies and Text Data

The article explores the development and implementation of an automated system for constructing professionograms of artificial intelligence (AI) specialists using modern information technologies. Against the backdrop of an ever-evolving digital economy and rising demand for qualified AI professionals, the study highlights the need for accurate and scalable tools to identify and assess relevant competencies.

Information system for extraction of information from open web resources

The purpose of the work is to develop a project of an information and reference system for finding answers to questions based on the highest degree of comparison using text content from open English- language web resources. Examples of such questions can be: “What is the best book ever?”, “What is the most popular IDE for Python”. The result of the functioning of the information and reference system is a ranked list of answers based on the frequency of appearance of each of the answer options.