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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Datum:2021
Hauptverfasser: Zhezherun, O.P., Ryepkin, M.S.
Format: Artikel
Sprache:Ukrainian
Veröffentlicht: PROBLEMS IN PROGRAMMING 2021
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Online Zugang: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
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Zusammenfassung: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