학술논문

Application of Neural Network Keyword Extraction Methods for Student’s CV Compilation from Discipline Work Programs
Document Type
Conference
Source
2023 XXVI International Conference on Soft Computing and Measurements (SCM) Soft Computing and Measurements (SCM), 2023 XXVI International Conference on. :143-146 May, 2023
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Geoscience
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Computer languages
Statistical analysis
Neural networks
Education
Natural language processing
Libraries
Data mining
natural language processing
keywords
CV
Language
Abstract
The paper considers application of natural language processing methods (NLP) to solve the task of identifying the core skills acquired by students in the process of education. An ensemble solution, consisting of models WikiNEuRAL, KBIR-Inspec, ruGTP3Large, word2vec, and other NLP methods, is used to extract and process Russian language keywords. The described method was developed to automate the compilation of a student’s CV in the information system called “Partner’s Account” of the LETI” university.