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dc.contributor.author | Sahaidak, Danylo | |
dc.date.accessioned | 2024-02-14T13:15:22Z | |
dc.date.available | 2024-02-14T13:15:22Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Sahaidak, Danylo. E-learning text analysis for automated knowledge map creation / Sahaidak, Danylo; Supervisor: Kateryna Bondar; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2022. – 26 p. | uk |
dc.identifier.uri | https://er.ucu.edu.ua/handle/1/4454 | |
dc.language.iso | en | uk |
dc.title | E-learning text analysis for automated knowledge map creation | uk |
dc.type | Preprint | uk |
dc.status | Публікується вперше | uk |
dc.description.abstracten | The online learning process is constantly integrating into our lives. The pandemic and global lockdown only speed up this process. E-learning content is spread all around the internet, and it is often available for free. At the same time, it lacks struc- ture, and it is hard to find essential materials. This thesis will discuss the possible ways of e-learning content analysis and categorization for the following integration in the knowledge map. | uk |