Schwan, Krisztián (2021) Mély gépi tanuló algoritmusok offenzív tweetek azonosítására. BA/Bsc, Szegedi Tudományegyetem.
![[thumbnail of 2021_schwan_krisztian.pdf]](https://diploma.bibl.u-szeged.hu/style/images/fileicons/application_pdf.png) |
PDF
2021_schwan_krisztian.pdf Hozzáférés joga: SZTE designated computers only Download (1MB) |
English title
Offensive tweet identification through deep learning
Institution
Szegedi Tudományegyetem
Faculty
Faculty of Science and Informatics
Department
Discipline
Institute
Informatikai Intézet
Specialization
Supervisor(s)
Supervisor
Supervisor scientific name label
Email
EHA
Farkas, Richárd József
egyetemi docens
UNSPECIFIED
UNSPECIFIED
| Item Type: | Thesis (BA/Bsc) |
|---|---|
| Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences 01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics 01. Natural sciences > 01.02. Computer and information sciences > 01.02.01. Computer sciences, information science and bioinformatics > 01.02.01.14. Algorithms, distributed, parallel and network algorithms, algorithmic game theory |
| Depositing User: | TTIK szerkesztő |
| Date Deposited: | 2022. Apr. 26. 13:31 |
| Last Modified: | 2022. Apr. 26. 13:31 |
| URI: | https://diploma.bibl.u-szeged.hu/id/eprint/124063 |
Actions (login required)
 |
View Item |
