| 1 | Zimbabwe | 4% | |
| 2 | Tagwirei | 4% | |
| 3 | Trump | 4% | |
| 4 | Court | 2% | |
| 5 | Term | 2% | |
| 6 | Liverpool | 2% | |
| 7 | Bribing | 2% | |
| 8 | Henry | 2% | |
| 9 | Global | 2% | |
| 10 | Putin | 2% | |
| 11 | Isaac | 2% | |
| 12 | Supreme | 2% | |
| 13 | Leads | 2% | |
| 14 | Rebukes | 2% | |
| 15 | Nation | 2% | |
| 16 | Ncube | 2% | |
| 17 | Sanyatwe | 2% | |
| 18 | CIO | 2% | |
| 19 | Former | 2% | |
| 20 | MP | 2% | |
| 21 | Spokesperson | 2% | |
| 22 | Harvard | 2% | |
| 23 | Asks | 2% | |
| 24 | Moyo | 2% | |
| 25 | Bail | 2% | |
| 26 | Celebrating | 2% | |
| 27 | Honour | 2% | |
| 28 | Tay | 2% | |
| 29 | Ministers | 2% | |
| 30 | SA | 2% | |
| 31 | Grin’s | 2% | |
| 32 | Donald | 2% | |
| 33 | UK | 2% | |
| 34 | Chigananda | 2% | |
| 35 | Meet | 2% | |
| 36 | Sudan | 2% | |
| 37 | Mnangagwa | 2% | |
| 38 | Geza | 2% | |
| 39 | Vladimir | 2% | |
| 40 | Chakwera | 2% | |
| 41 | South | 2% | |
| 42 | Caught | 2% | |
| 43 | News | 2% | |
| 44 | Trump’s | 2% | |
| 45 | President | 2% | |
| 46 | Vindicated | 2% | |
| 47 | Military | 2% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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