Ensemble Hybrid Learning Methods for Automated Depression Detection
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Shaoxiong, Ji | |
dc.contributor.author | Ansari, Luna | |
dc.contributor.school | Perustieteiden korkeakoulu | fi |
dc.contributor.supervisor | Käpylä, Maarit | |
dc.date.accessioned | 2021-10-12T08:10:52Z | |
dc.date.available | 2021-10-12T08:10:52Z | |
dc.date.issued | 2021-04-24 | |
dc.format.extent | 20+ | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/110377 | |
dc.identifier.urn | URN:NBN:fi:aalto-202110129568 | |
dc.language.iso | en | en |
dc.programme | Aalto Bachelor’s Programme in Science and Technology | fi |
dc.programme.major | Data Science | en |
dc.programme.mcode | SCI3095 | fi |
dc.subject.keyword | text classification | en |
dc.subject.keyword | deep learning | en |
dc.subject.keyword | natural language processing | en |
dc.subject.keyword | social network | en |
dc.subject.keyword | depression | en |
dc.title | Ensemble Hybrid Learning Methods for Automated Depression Detection | en |
dc.type | G1 Kandidaatintyö | fi |
dc.type.dcmitype | text | en |
dc.type.ontasot | Bachelor's thesis | en |
dc.type.ontasot | Kandidaatintyö | fi |