| 1 | ATM | 3.09% | |
| 2 | Zungula | 3.09% | |
| 3 | Vuyo | 2.06% | |
| 4 | Nongqunga | 2.06% | |
| 5 | Johannesburg | 2.06% | |
| 6 | Lonzi | 2.06% | |
| 7 | Sihle | 2.06% | |
| 8 | Trump | 2.06% | |
| 9 | Newsom | 2.06% | |
| 10 | DA | 2.06% | |
| 11 | Community | 1.03% | |
| 12 | Marines | 1.03% | |
| 13 | Governor | 1.03% | |
| 14 | ‘Most | 1.03% | |
| 15 | Homan | 1.03% | |
| 16 | AfriForum | 1.03% | |
| 17 | White | 1.03% | |
| 18 | Politician’ | 1.03% | |
| 19 | Lab | 1.03% | |
| 20 | Ndlozi? | 1.03% | |
| 21 | Chief | 1.03% | |
| 22 | Mashaba | 1.03% | |
| 23 | Steenhuisen | 1.03% | |
| 24 | Organising | 1.03% | |
| 25 | Joburg | 1.03% | |
| 26 | New | 1.03% | |
| 27 | Brazil | 1.03% | |
| 28 | Professor | 1.03% | |
| 29 | Department | 1.03% | |
| 30 | Lula | 1.03% | |
| 31 | Popular | 1.03% | |
| 32 | Yiaga | 1.03% | |
| 33 | Farage’s | 1.03% | |
| 34 | EFFs | 1.03% | |
| 35 | African | 1.03% | |
| 36 | Zille’s | 1.03% | |
| 37 | Caesar | 1.03% | |
| 38 | Mark | 1.03% | |
| 39 | EU | 1.03% | |
| 40 | Mozambiques | 1.03% | |
| 41 | Women | 1.03% | |
| 42 | Gavin | 1.03% | |
| 43 | Canada | 1.03% | |
| 44 | World’s | 1.03% | |
| 45 | Carney | 1.03% | |
| 46 | Khan | 1.03% | |
| 47 | Gayton | 1.03% | |
| 48 | London | 1.03% | |
| 49 | California | 1.03% | |
| 50 | Nigel | 1.03% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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