| 1 | ZimEye | 2.02% | |
| 2 | Doctors | 2.02% | |
| 3 | Fake | 2.02% | |
| 4 | VP | 2.02% | |
| 5 | DRC | 2.02% | |
| 6 | Chiwenga | 2.02% | |
| 7 | SA | 2.02% | |
| 8 | UK | 2.02% | |
| 9 | US | 2.02% | |
| 10 | President | 2.02% | |
| 11 | Bradley | 1.01% | |
| 12 | Crash | 1.01% | |
| 13 | Their | 1.01% | |
| 14 | Australia | 1.01% | |
| 15 | UAE | 1.01% | |
| 16 | Crimes | 1.01% | |
| 17 | Strange | 1.01% | |
| 18 | Hospital | 1.01% | |
| 19 | Burkina | 1.01% | |
| 20 | Medical | 1.01% | |
| 21 | Russia | 1.01% | |
| 22 | Exhibition | 1.01% | |
| 23 | Iran | 1.01% | |
| 24 | Mnangagwas | 1.01% | |
| 25 | New | 1.01% | |
| 26 | Experiences | 1.01% | |
| 27 | Die | 1.01% | |
| 28 | Patients | 1.01% | |
| 29 | Amnesty | 1.01% | |
| 30 | Kenya | 1.01% | |
| 31 | MBT | 1.01% | |
| 32 | Zim | 1.01% | |
| 33 | Ghana | 1.01% | |
| 34 | Leopard | 1.01% | |
| 35 | Faso | 1.01% | |
| 36 | Israel | 1.01% | |
| 37 | Harare | 1.01% | |
| 38 | City | 1.01% | |
| 39 | Moscow | 1.01% | |
| 40 | Rwanda | 1.01% | |
| 41 | Internationals | 1.01% | |
| 42 | Uganda | 1.01% | |
| 43 | Zimbabwe | 1.01% | |
| 44 | X-Ray | 1.01% | |
| 45 | Work | 1.01% | |
| 46 | Failed | 1.01% | |
| 47 | USA | 1.01% | |
| 48 | Impostor | 1.01% | |
| 49 | Biden | 1.01% | |
| 50 | ByteDance | 1.01% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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