Применение метода распознавания именованных сущностей в сфере информационных технологий для анализа задач по разработке программного обеспечения

Abstract

Explores the application of the Named Entity Recognition method to analyze software development tasks. It describes the main methods of labor-intensive analysis of IT companies, as well as NER technologies, libraries and frameworks such as SpaCy, DeepPavlov, Natasha and Pullenti, which can be used for extracting information about named entities from text data in Russian. This article offers useful resources and approaches for analyzing development tasks, which helps to improve planning, project management and reduce development time.