Deep learning approach to detect cyberbullying on twitter.
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| Title: | Deep learning approach to detect cyberbullying on twitter. |
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| Authors: | Aliyeva, Çinare Oğuz1, cinare.oguz.91@gmail.com, Yağanoğlu, Mete1, yaganoglu@atauni.edu.tr |
| Source: | Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 19, p20497-20520, 24p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 186338068 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning approach to detect cyberbullying on twitter. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Aliyeva%2C+Çinare+Oğuz%22">Aliyeva, Çinare Oğuz</searchLink><relatesTo>1</relatesTo>, <i>cinare.oguz.91@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Yağanoğlu%2C+Mete%22">Yağanoğlu, Mete</searchLink><relatesTo>1</relatesTo>, <i>yaganoglu@atauni.edu.tr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jun2025, Vol. 84 Issue 19, p20497-20520, 24p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186338068 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-024-19869-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 20497 Titles: – TitleFull: Deep learning approach to detect cyberbullying on twitter. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aliyeva, Çinare Oğuz – PersonEntity: Name: NameFull: Yağanoğlu, Mete IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 19 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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