title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ ÐºÐ¾Ð½ÑÐ¿ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ¸Ð¾Ð½Ð°Ð»ÑÐ½ÑÑ /ÑÑÐµÐ±Ð½ÑÑ Ð·Ð½Ð°Ð½Ð¸Ð¹
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 software systems for automating notes of professional and educational knowledge
Creators: name: Ð¡ÑÐµÐ¿Ð°Ð½Ð¾Ð², ÐÐ²Ð³ÐµÐ½Ð¸Ð¹
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: 2020
Subjects: ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð·Ð½Ð°Ð½Ð¸Ñ
ÐºÐ¾Ð»Ð»Ð¾ÐºÐ°ÑÐ¸Ñ
ÐºÐ¾Ð½ÑÐ¿ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÐºÐ¾ÑÐ¿ÑÑ ÑÐ·ÑÐºÐ°
Ð»ÐµÐ¼Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ
ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ
ÑÐ»Ð¾Ð²Ð¾ÑÐ¾ÑÐ¼Ð°
ÑÐ¸Ð½ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¾Ðµ ÑÐ¶Ð°ÑÐ¸Ðµ
Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð°
ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½ÑÐ¹ ÑÐ·ÑÐº
semantic analisys
knowledge
collection
inspection
language
lemmatization
segmentation
wordform
syntacic compression
software system
natural language

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ ÐºÐ¾Ð½ÑÐ¿ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ¸Ð¾Ð½Ð°Ð»ÑÐ½ÑÑ/ÑÑÐµÐ±Ð½ÑÑ Ð·Ð½Ð°Ð½Ð¸Ð¹Â» 
 
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description: Theme of graduation work: âDevelopment of software systems for automating notes of professional and educational knowledgeâ 
 
 In the final qualification work, an approach to taking notes of knowledge presented in the form of texts in natural language is proposed and developed. The basis of this approach is the methods of semantic analysis and syntactic compression of the text. The semantics of the text are described using the model of semantic cases. Syntactic compression is performed by sequentially applying segmentation, lemmatization and collocation algorithms. As an indicator of the effectiveness of notes, the compression ratio of the text is selected. The work implements a software system that automates the process of taking notes. The program code is written in Python using specialized text analysis libraries. The operability of the software system was tested during the processing of lecture texts related to the subject field âInformation Technologiesâ. When building the dictionary of word forms, the national corpus of the Russian language was used. To assess the consumer characteristics of the developed automated note taking system, the method of anonymous questionnaire survey of users was used. Statistical analysis of the survey results showed the predominance of positive feedback and allowed us to choose areas for improving the system.