Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/14850
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Janakieva, Dobrinka | en_US |
dc.contributor.author | Mirceva, Georgina | en_US |
dc.contributor.author | Gievska, Sonja | en_US |
dc.date.accessioned | 2021-09-23T07:27:05Z | - |
dc.date.available | 2021-09-23T07:27:05Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/14850 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.title | Fake News Detection by Using Doc2Vec Representation Model and Various Classification Algorithms | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 44th International Convention on Information, Communication and Electronic Technology (MIPRO 2021) | en_US |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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