title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¾Ð½Ð½ÑÑ Ð·Ð°Ð´Ð°Ñ Ñ ÑÐµÐ»ÑÑ Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ñ ÑÑÑÐµÑÑÐ²ÐµÐ½Ð½ÑÑ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² ÑÐµÐºÑÑÐ¾Ð² Ð¸ ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹ Ð½Ð° Ð¸Ñ Ð¾ÑÐ½Ð¾Ð²Ðµ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Research of machine learning algorithms and solving optimization problems for essential features extraction from texts and form text based recommendations
Creators: name: Ð£Ð¾Ð³Ð¸Ð½ÑÐ°-ÐÑÑÐ¾ÑÐ°Ñ, ÐÐ»Ð¸Ð·Ð°Ð²ÐµÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÐ¹ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑ
ÐÐ½Ð¾Ð¶ÐµÑÑÐ² ÑÐµÐ¾ÑÐ¸Ñ
ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ
ÐÐ°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ Ð»Ð¸Ð½Ð³Ð²Ð¸ÑÑÐ¸ÐºÐ°
Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð²
Ð¼ÐµÑÐ°-Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¸
Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÑÐºÑÑÑÐ°ÐºÑÐ¸Ð¸
Ð²ÐµÐºÑÐ¾ÑÐ° Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð²
Ð¾Ð½ÑÐ¾Ð»Ð¾Ð³Ð¸Ð¸
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÑ
isolation of features
meta-features
extraction algorithms
feature vectors
ontologies
classifiers

description: Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ðº ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐµÐºÑÑÐ¾Ð² Ð½Ð° Ð±Ð°Ð·Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°ÑÑÐ¸Ñ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² ÑÐµÐºÑÑÐ¾Ð² Ð¸ ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ°-Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² ÑÐµÐºÑÑÐ¾Ð² Ð±ÐµÐ· ÑÐºÑÐ¿ÐµÑÑÐ½Ð¾Ð¹ Ð¾ÑÐµÐ½ÐºÐ¸ Ð¸ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¿Ð¾Ð´ÑÐ¾Ð´Ñ Ðº ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¹ ÑÐµÐºÑÑÐ¾Ð² Ð½Ð° Ð±Ð°Ð·Ðµ ÑÐºÑÐ¿ÐµÑÑÐ½Ð¾Ð¹ Ð¾ÑÐµÐ½ÐºÐ¸. ÐÐ°ÑÑÑÑ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ° Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐ¼ ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ°Ð¼ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ ÑÐ°ÐºÐ¸Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ¾Ð², Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐµÐ´Ð»Ð°Ð³Ð°ÐµÑÑÑ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ðº ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð½Ð¾Ð²Ð¾Ð³Ð¾ Ð¾Ð½ÑÐ¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ° Ð½Ð° Ð±Ð°Ð·Ðµ ÑÐºÑÑÑÐ°ÐºÑÐ¸Ð¸ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð² ÑÐµÐºÑÑÐ¾Ð² Ð¸ Ð¸Ñ ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ð¸. Ð ÑÐ°Ð¼ÐºÐ°Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ Ð¾ ÑÐ¾ÑÐ¼Ð°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² Ðº Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð½Ð¾Ð²Ð¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ° ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÑÑÐ¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÑÐºÑÑÑÐ°ÐºÑÐ¸Ð¸ Ð¸ ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ð¸. Ð¤Ð¾ÑÐ¼Ð°Ð»Ð¸Ð·ÑÐµÑÑÑ Ð¿Ð°Ð¹Ð¿Ð»Ð°Ð¹Ð½ Ð´Ð»Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐºÐ¾ÑÐ¿ÑÑÐ° ÑÐµÐºÑÑÐ¾Ð² Ð½Ð° Ð±Ð°Ð·Ðµ ÐºÐ¾ÑÐ¾ÑÐ¾Ð³Ð¾ ÑÐµÐ°Ð»Ð¸Ð·ÑÐµÑÑÑ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°Ð»ÑÐ½Ð°Ñ Ð¿ÑÐ¾Ð²ÐµÑÐºÐ° Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð°. ÐÑÐ¸Ð²Ð¾Ð´Ð¸ÑÑÑ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÐºÐ° Ð¿Ð¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°.
description: In this paper, we consider an approach to the formation of a classification of texts based on machine learning algorithms that provide the selection of text features and the formation of meta-features of texts without expert judgment and training. The existing approaches to the formation of text classifications based on expert judgment are considered. A characteristic is given to the main elements of the con-struction of such classifiers, and an approach to the formation of a new ontological classifier based on the extraction of text attributes and their clustering is proposed. As part of solving the problem of formalizing approaches to building a new classifier, the corresponding extraction and clustering algorithms are considered. A pipeline is being formalized for processing the text corpus, on the basis of which the experi-mental verification of the proposed approach is implemented. The analyst is given according to the results of the experiment.