Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/13570
DC FieldValueLanguage
dc.contributor.authorStojanovski, Darioen_US
dc.contributor.authorStrezoski, Gjorgjien_US
dc.contributor.authorMadjarov, Gjorgjien_US
dc.contributor.authorDimitrovski, Ivicaen_US
dc.contributor.authorChorbev, Ivanen_US
dc.date.accessioned2021-06-15T10:50:05Z-
dc.date.available2021-06-15T10:50:05Z-
dc.date.issued2018-06-18-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/13570-
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.ispartofMultimedia Tools and Applicationsen_US
dc.titleDeep neural network architecture for sentiment analysis and emotion identification of Twitter messagesen_US
dc.identifier.doi10.1007/s11042-018-6168-1-
dc.identifier.urlhttp://link.springer.com/article/10.1007/s11042-018-6168-1/fulltext.html-
dc.identifier.urlhttp://link.springer.com/content/pdf/10.1007/s11042-018-6168-1.pdf-
dc.identifier.urlhttp://link.springer.com/content/pdf/10.1007/s11042-018-6168-1.pdf-
dc.identifier.volume77-
dc.identifier.issue24-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
Прикажи едноставен запис

Page view(s)

60
checked on 3.5.2025

Google ScholarTM

Проверете

Altmetric


Записите во DSpace се заштитени со авторски права, со сите права задржани, освен ако не е поинаку наведено.