E-learning text analysis for automated knowledge map creation

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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


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