| 1 | Rayner | 2.7% | |
| 2 | Starmer | 2.7% | |
| 3 | Rishi | 2.7% | |
| 4 | Sunak | 2.7% | |
| 5 | Political | 1.8% | |
| 6 | Zumas | 1.8% | |
| 7 | Johnson | 1.8% | |
| 8 | Arizona | 1.8% | |
| 9 | Biden | 1.8% | |
| 10 | GOP | 1.8% | |
| 11 | Angela | 1.8% | |
| 12 | Keir | 1.8% | |
| 13 | Mayorkas | 1.8% | |
| 14 | Trump | 1.8% | |
| 15 | Trump’s | 1.8% | |
| 16 | Downen | 0.9% | |
| 17 | Transition | 0.9% | |
| 18 | Campaigns | 0.9% | |
| 19 | Taylor | 0.9% | |
| 20 | Magical | 0.9% | |
| 21 | Prizes | 0.9% | |
| 22 | Cut | 0.9% | |
| 23 | Jacobo | 0.9% | |
| 24 | Hixenbaugh | 0.9% | |
| 25 | Generation | 0.9% | |
| 26 | Downer | 0.9% | |
| 27 | James | 0.9% | |
| 28 | Senate | 0.9% | |
| 29 | Gap | 0.9% | |
| 30 | Energy | 0.9% | |
| 31 | Memory | 0.9% | |
| 32 | Civil | 0.9% | |
| 33 | New | 0.9% | |
| 34 | Liz | 0.9% | |
| 35 | Comer | 0.9% | |
| 36 | Greene | 0.9% | |
| 37 | KZN | 0.9% | |
| 38 | Jon | 0.9% | |
| 39 | Yadav | 0.9% | |
| 40 | San | 0.9% | |
| 41 | MP | 0.9% | |
| 42 | Rwanda | 0.9% | |
| 43 | R40m | 0.9% | |
| 44 | HT | 0.9% | |
| 45 | Ex-ANC | 0.9% | |
| 46 | Mike | 0.9% | |
| 47 | Truss | 0.9% | |
| 48 | Bhupender | 0.9% | |
| 49 | Johnson’s | 0.9% | |
| 50 | His | 0.9% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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