Justification for the use of Cohen's kappa statistic in experimental studies of NLP and Text Mining

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Бібліографічні деталі
Дата:2022
Автори: A. S. Kolesnyk, N. F. Khairova
Формат: Стаття
Мова:Англійська
Опубліковано: 2022
Назва видання:Cybernetics and Systems Analysis
Онлайн доступ:http://jnas.nbuv.gov.ua/article/UJRN-0001313069
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author A. S. Kolesnyk
N. F. Khairova
author_facet A. S. Kolesnyk
N. F. Khairova
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
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series Cybernetics and Systems Analysis
spelling open-sciencenbuvgovua-532023-09-12T17:59:40Z Justification for the use of Cohen's kappa statistic in experimental studies of NLP and Text Mining A. S. Kolesnyk N. F. Khairova 1019-5262 2022 en Cybernetics and Systems Analysis http://jnas.nbuv.gov.ua/article/UJRN-0001313069 Article
spellingShingle Cybernetics and Systems Analysis
A. S. Kolesnyk
N. F. Khairova
Justification for the use of Cohen's kappa statistic in experimental studies of NLP and Text Mining
title Justification for the use of Cohen's kappa statistic in experimental studies of NLP and Text Mining
title_full Justification for the use of Cohen's kappa statistic in experimental studies of NLP and Text Mining
title_fullStr Justification for the use of Cohen's kappa statistic in experimental studies of NLP and Text Mining
title_full_unstemmed Justification for the use of Cohen's kappa statistic in experimental studies of NLP and Text Mining
title_short Justification for the use of Cohen's kappa statistic in experimental studies of NLP and Text Mining
title_sort justification for the use of cohen's kappa statistic in experimental studies of nlp and text mining
url http://jnas.nbuv.gov.ua/article/UJRN-0001313069
work_keys_str_mv AT askolesnyk justificationfortheuseofcohenamp039skappastatisticinexperimentalstudiesofnlpandtextmining
AT nfkhairova justificationfortheuseofcohenamp039skappastatisticinexperimentalstudiesofnlpandtextmining