An analysis of Deep Learning techniques for Cyberbullying Detection: A review
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Ji, Shaoxiong | |
dc.contributor.author | Nghiem, Long | |
dc.contributor.school | Perustieteiden korkeakoulu | fi |
dc.contributor.supervisor | Käpylä, Maarit | |
dc.date.accessioned | 2020-09-22T08:10:20Z | |
dc.date.available | 2020-09-22T08:10:20Z | |
dc.date.issued | 2020-09-10 | |
dc.format.extent | 29 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/46562 | |
dc.identifier.urn | URN:NBN:fi:aalto-202009225496 | |
dc.language.iso | en | en |
dc.programme | Teknistieteellinen kandidaattiohjelma | fi |
dc.programme.major | Tietotekniikka | fi |
dc.programme.mcode | SCI3027 | fi |
dc.subject.keyword | cyberbullying | en |
dc.subject.keyword | machine learning | en |
dc.subject.keyword | deep learning | en |
dc.subject.keyword | automated detection | en |
dc.subject.keyword | natural language processing | en |
dc.subject.keyword | literature review | en |
dc.title | An analysis of Deep Learning techniques for Cyberbullying Detection: A review | en |
dc.type | G1 Kandidaatintyö | fi |
dc.type.dcmitype | text | en |
dc.type.ontasot | Bachelor's thesis | en |
dc.type.ontasot | Kandidaatintyö | fi |