title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¼Ð½Ð¾Ð³Ð¾Ð·Ð½Ð°ÑÐ½Ð¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ° ÑÐµÐºÑÑÐ¾Ð²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of an automatic multilabel text classifier
Creators: name: Ð¨ÑÐ»ÑÐ³Ð°, ÐÐ°Ð½Ð¸Ð¸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: 2024
Subjects: Ð¼Ð½Ð¾Ð³Ð¾Ð·Ð½Ð°ÑÐ½Ð°Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼ÐµÑÑ
Ð¿ÑÐµÐ´Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐµÐºÑÑÐ°
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ðµ
multilabel classification
transformers
text preprocessing
machine learning
medical data
neural networks
data visualization

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¼Ð½Ð¾Ð³Ð¾Ð·Ð½Ð°ÑÐ½Ð¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ¸-ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ° ÑÐµÐºÑÑÐ¾Ð², Ð¿ÑÐµÐ´Ð½Ð°Ð·Ð½Ð°ÑÐµÐ½Ð½Ð¾Ð³Ð¾ Ð´Ð»Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸ ÐºÐ°ÑÐµÐ³Ð¾ÑÐ¸-Ð·Ð°ÑÐ¸Ð¸ Ð°Ð½Ð½Ð¾ÑÐ°ÑÐ¸Ð¹ Ð½Ð°ÑÑÐ½ÑÑ ÑÑÐ°ÑÐµÐ¹. Ð ÑÐ¾Ð´Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð¸Ð·ÑÑÐµÐ½Ñ Ð¸ ÑÑÐ°Ð²Ð½ÐµÐ½Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ Ð¼Ð½Ð¾Ð³Ð¾Ð·Ð½Ð°ÑÐ½Ð¾Ð¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, ÑÐ°ÐºÐ¶Ðµ Ð±ÑÐ»Ð¸ Ð¾ÑÐµÐ½ÐµÐ½Ñ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐ¸ Ð¸ Ð¾Ð³ÑÐ°Ð½Ð¸-ÑÐµÐ½Ð¸Ñ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ Ð¸Ð· Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ñ ÑÐ¾ÑÐºÐ¸ Ð·ÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸, ÑÐºÐ¾ÑÐ¾ÑÑÐ¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸ ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð¾ÑÑÐ¸ Ðº Ð¼Ð°ÑÑÑÐ°Ð±Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ Ð¿ÑÐµÐ´Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸ÑÑÐ¾Ð´Ð½Ð¾-Ð³Ð¾ Ð´Ð°ÑÐ°ÑÐµÑÐ°, Ð²ÐºÐ»ÑÑÐ°ÑÑÐµÐ³Ð¾ Ð°Ð½Ð½Ð¾ÑÐ°ÑÐ¸Ð¸ Ð½Ð°ÑÑÐ½ÑÑ ÑÑÐ°ÑÐµÐ¹ Ð¸Ð· Ð±Ð°Ð·Ñ Ð´Ð°Ð½Ð½ÑÑ PubMed. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¸ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½Ð°Ñ Ð½Ð° Ð°Ð´Ð°Ð¿ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð´Ð»Ñ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñ Ð¼Ð½Ð¾Ð³Ð¾Ð·Ð½Ð°ÑÐ½Ð¾Ð¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐµ ÑÑÐ°Ð½ÑÑÐ¾ÑÐ¼ÐµÑ. Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ ÑÑÐ¿ÐµÑÐ½Ð¾ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð° Ð´Ð»Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¼Ð½Ð¾Ð³Ð¾Ð·Ð½Ð°ÑÐ½Ð¾-Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐµÐºÑÑÐ¾Ð² Ð°Ð½Ð½Ð¾ÑÐ°ÑÐ¸Ð¹ Ð½Ð°ÑÑÐ½ÑÑ ÑÑÐ°ÑÐµÐ¹, Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÑÑ Ð¾Ñ-Ð»Ð¸ÑÐ½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¿Ð¾ Ð²ÑÐµÐ¼ Ð²ÑÐ±ÑÐ°Ð½Ð½ÑÐ¼ Ð¼ÐµÑÑÐ¸ÐºÐ°Ð¼ Ð¾ÑÐµÐ½ÐºÐ¸ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾-ÑÑÐ¸. ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ñ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ³Ð¾ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ.
description: This work is dedicated to the development of an automatic multilabel text classifier designed for efficient processing and categorization of scientific article annotations. In the course of the work, various multilabel classification methods were ex-plored and compared, and the capabilities and limitations of each method were as-sessed in terms of accuracy, processing speed, and scalability. An analysis and pre-processing of the original dataset, which includes annotations of scientific articles from the PubMed database, were conducted. A model based on a transformer archi-tecture adapted for multilabel classification tasks was developed and optimized. The implemented model was successfully applied to the automatic multilabel classifica-tion of text annotations of scientific articles, demonstrating excellent results across all selected performance evaluation metrics. Directions for further research development have been proposed.