LUP Statistics
Record
- Title
- Multi-Label Toxic Comment Classification Using Machine Learning: An In-Depth Study
- Type
- Student Paper
- Publ. year
- 2023
- Author/s
- Froste, Matilda; Hosseini, Mosa
- Department/s
- Department of Computer Science
- In LUP since
- 2023-09-01
Downloads
| Total | This Year | This Month |
| 712 | 305 | 7 |
United States of America  |
175 (25%) |
Sweden  |
101 (15%) |
India  |
76 (11%) |
Austria  |
30 (4%) |
Indonesia  |
26 (4%) |
Italy  |
24 (3%) |
China  |
24 (3%) |
Unknown  |
23 (3%) |
Taiwan (China)  |
18 (3%) |
Ireland  |
17 (2%) |
Malaysia  |
14 (2%) |
Bangladesh  |
13 (2%) |
Germany  |
13 (2%) |
Pakistan  |
9 (1%) |
Hong Kong (China)  |
9 (1%) |
France  |
8 (1%) |
Brazil  |
7 (1%) |
United Kingdom of Great Britain and Northern Ireland  |
6 (1%) |
Canada  |
6 (1%) |
Netherlands (Kingdom of the)  |
5 (1%) |
Sri Lanka  |
5 (1%) |
Viet Nam  |
5 (1%) |
Japan  |
5 (1%) |
Spain  |
5 (1%) |
Australia  |
4 (1%) |
Iran  |
4 (1%) |
Philippines  |
4 (1%) |
Mauritius  |
4 (1%) |
Portugal  |
3 (0%) |
Nigeria  |
3 (0%) |
Singapore  |
3 (0%) |
Egypt  |
3 (0%) |
Turkiye  |
3 (0%) |
Saudi Arabia  |
3 (0%) |
Ethiopia  |
2 (0%) |
Ukraine  |
2 (0%) |
South Korea  |
2 (0%) |
Latvia  |
2 (0%) |
Israel  |
2 (0%) |
Nepal  |
2 (0%) |
Algeria  |
2 (0%) |
Switzerland  |
2 (0%) |
Myanmar  |
2 (0%) |
Argentina  |
1 (0%) |
Mexico  |
1 (0%) |
Uzbekistan  |
1 (0%) |
Slovakia  |
1 (0%) |
Denmark  |
1 (0%) |
Thailand  |
1 (0%) |
Greece  |
1 (0%) |
Romania  |
1 (0%) |
United Arab Emirates  |
1 (0%) |
Poland  |
1 (0%) |
Belgium  |
1 (0%) |