Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/13570| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Stojanovski, Dario | en_US |
| dc.contributor.author | Strezoski, Gjorgji | en_US |
| dc.contributor.author | Madjarov, Gjorgji | en_US |
| dc.contributor.author | Dimitrovski, Ivica | en_US |
| dc.contributor.author | Chorbev, Ivan | en_US |
| dc.date.accessioned | 2021-06-15T10:50:05Z | - |
| dc.date.available | 2021-06-15T10:50:05Z | - |
| dc.date.issued | 2018-06-18 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/13570 | - |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.ispartof | Multimedia Tools and Applications | en_US |
| dc.title | Deep neural network architecture for sentiment analysis and emotion identification of Twitter messages | en_US |
| dc.identifier.doi | 10.1007/s11042-018-6168-1 | - |
| dc.identifier.url | http://link.springer.com/article/10.1007/s11042-018-6168-1/fulltext.html | - |
| dc.identifier.url | http://link.springer.com/content/pdf/10.1007/s11042-018-6168-1.pdf | - |
| dc.identifier.url | http://link.springer.com/content/pdf/10.1007/s11042-018-6168-1.pdf | - |
| dc.identifier.volume | 77 | - |
| dc.identifier.issue | 24 | - |
| 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: Journal Articles | |
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