\n| \n \u0417\u0430\u0431\u043e\u043d<\/span><\/p>\n\u0442\u043e\u04b7\u0438\u043a\u04e3<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/p>\n \n \n \n\n\n| \n \u041d\u0430\u043c\u0443\u0434<\/span><\/p>\n\u0442\u0435\u0445\u043d\u0438\u043a\u04e3<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/p>\n \n \n \n\n\n| \n \u0421\u043e\u043b<\/span><\/p>\n2023<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/p>\n \n \n \n\n\n| \n \u0421\u0430\u04b3\u0438\u0444\u0430<\/span><\/p>\n30-31<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n <\/p>\n \n \n <\/p>\n \n \n <\/p>\n \n \n \u0420\u04ef\u0439\u0445\u0430\u0442\u0438 \u0430\u0434\u0430\u0431\u0438\u0451\u0442\u04b3\u043e\u0438 \u0438\u0441\u0442\u0438\u0444\u043e\u0434\u0430\u0448\u0443\u0434\u0430<\/em><\/strong><\/span><\/p>\n\n- <\/li>\n<\/ol>\n
\n- \n
\n- Aggarwal C. and Zhai C. A survey of text classification algorithms. 2012. Springer, p.163\u2014222.<\/em><\/li>\n
- Artificial intelligence, machine learning and deep learning: [<\/em>\u042d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u044b\u0439<\/em> \u0440\u0435\u0441\u0443\u0440\u0441<\/em>]. URL: https:\/\/velog.io\/@gabie0208\/1.1-Artificial-intelligence-machine-learning-and-deep-learning.<\/em><\/li>\n
- Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda.(2018). Applied Text Analysis with Python. O’Reilly Media, Inc., pp.368.<\/em><\/li>\n
- Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. An introduction to statistical learning: with applications in R. New York: 2013. Springer.<\/em><\/li>\n
- Korde V. and Mahender C. Text classification and classifiers: A survey. International Journal of Artificial Intelligence & Applications (IJAIA), 2012. 3 (2), P. 85\u201499.<\/em><\/li>\n
- Niharika S., Latha V. and Lavanya, D. A Survey on Text Categorization. International Journal of Computer Trends and Technology, 2012. volume 3, Issue 1.<\/em><\/li>\n
- NLP Tutorial for Text Classification in Python: [<\/em>\u042d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u044b\u0439<\/em> \u0440\u0435\u0441\u0443\u0440\u0441<\/em>]. URL: https:\/\/medium.com\/analytics-vidhya\/nlp-tutorial-for-text-classification-in-python-8f19cd17b49e.<\/em><\/li>\n
- Wilcox A. and Hripcsak G. Classification algorithms applied to narrative reports. 1999. p. 455.<\/em><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n <\/p>\n \n \n <\/p>\n \n \n <\/p>\n \n \n \u0422\u0430\u044a\u0440\u0438\u0445\u0438 \u043d\u0430\u0448\u0440<\/strong><\/span><\/p>\n2023-10-19<\/p>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n <\/p>\n","protected":false},"excerpt":{"rendered":" \u041c\u0443\u0430\u043b\u043b\u0438\u0444\u043e\u043d \u041d\u0438\u0437\u0430\u043c\u0438\u0442\u0434\u0438\u043d\u043e\u0432 \u0410.\u0418. \u2013 \u0434\u043e\u043a\u0442\u043e\u0440\u0438 \u0444\u0430\u043b\u0441\u0430\u0444\u0430(PhD) \u0430\u0437 \u0440\u04ef\u0439\u0438 \u0438\u0445\u0442\u0438\u0441\u043e\u0441, \u043e\u043c\u04ef\u0437\u0433\u043e\u0440\u0438 \u043a\u0430\u043b\u043e\u043d, \u043a\u0430\u0444\u0435\u0434\u0440\u0430\u0438 \u0438\u049b\u0442\u0438\u0441\u043e\u0434\u0438 \u0440\u0430\u049b\u0430\u043c\u04e3, \u0414\u043e\u043d\u0438\u0448\u043a\u0430\u0434\u0430\u0438 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