System of classification for personnel selection based upon Ukrainian language ana-lyze

The article describes a classification system with natural language processing. Many systems use neural networks, but it needs massive amounts of data for training, which is not always available. Authors propose to use ontologies in such systems. As example of such approach it is shown the classific...

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Збережено в:
Бібліографічні деталі
Дата:2021
Автори: Zhezherun, O.P., Ryepkin, M.S.
Формат: Стаття
Мова:Ukrainian
Опубліковано: Інститут програмних систем НАН України 2021
Теми:
Онлайн доступ:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/437
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Назва журналу:Problems in programming
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Problems in programming
Опис
Резюме:The article describes a classification system with natural language processing. Many systems use neural networks, but it needs massive amounts of data for training, which is not always available. Authors propose to use ontologies in such systems. As example of such approach it is shown the classification system, which helps to form a list of the best candidates during the recruitment process. An overview of the methods for ontologies constructing and language analyzers appropriate for classification systems are presented. The system in the form of a knowledge base is constracted. Described system supports Ukrainian and English languages. The  possible ways of system expansion is regarded.Problems in programming 2020; 4: 34-40