The scientific degree determination of the scientific and technical text author
| creativework.keywords | Machine learning, analysis, natural language processing, Python, text classification, scientific degree, scientific and technical text. | |
| dc.contributor.author | Konyk Myroslav | |
| dc.contributor.author | Vysotska Victoria | |
| dc.date.accessioned | 2022-10-21T08:41:17Z | |
| dc.date.available | 2022-10-21T08:41:17Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | This article discusses the main methods used to solve classification problems and texts to determine the scientific degree of the author of scientific and technical text. A data set was taken to classify and cluster the text containing scientific articles from different fields. | |
| dc.identifier.citation | Konyk M. The scientific degree determination of the scientific and technical text author / Myroslav Konyk, Victoria Vysotska // Computational Linguistics and Intelligent Systems. – Lviv, 2022. – Volume 2 : Proceedings of the 6nd International conference, COLINS 2022. Workshop, Gliwice, Poland, May 12–13, 2022. – P. 176–193. – URL: https://colins.in.ua/wp-content/uploads/2022/07/VolumeII_Colins2022.pdf (дата звернення: 21.10.2022). – Bibliography: 22 titles. | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/56976 | |
| dc.language.iso | en | |
| dc.publisher | онлайн | |
| dc.title | The scientific degree determination of the scientific and technical text author | |
| dc.type | Article |