| 1 | Politics | 5.56% | |
| 2 | Political | 4.17% | |
| 3 | Tim | 2.78% | |
| 4 | Ohio | 1.39% | |
| 5 | CDS | 1.39% | |
| 6 | Hill | 1.39% | |
| 7 | ‘Nobody | 1.39% | |
| 8 | Sunday | 1.39% | |
| 9 | Murky | 1.39% | |
| 10 | Pols | 1.39% | |
| 11 | Sunlight | 1.39% | |
| 12 | Ousts | 1.39% | |
| 13 | Get | 1.39% | |
| 14 | New | 1.39% | |
| 15 | Brunch?June | 1.39% | |
| 16 | Congress | 1.39% | |
| 17 | Pratap | 1.39% | |
| 18 | Area | 1.39% | |
| 19 | George | 1.39% | |
| 20 | Iowa | 1.39% | |
| 21 | After | 1.39% | |
| 22 | Top | 1.39% | |
| 23 | Waters | 1.39% | |
| 24 | Multipolar | 1.39% | |
| 25 | Dems | 1.39% | |
| 26 | Austin | 1.39% | |
| 27 | Didn’t | 1.39% | |
| 28 | Agenda’ | 1.39% | |
| 29 | Overstory | 1.39% | |
| 30 | Lebanon | 1.39% | |
| 31 | F.B.I. | 1.39% | |
| 32 | Officials | 1.39% | |
| 33 | Lalu-Tej | 1.39% | |
| 34 | American | 1.39% | |
| 35 | Done’ | 1.39% | |
| 36 | Save | 1.39% | |
| 37 | Healey | 1.39% | |
| 38 | Wendt’s | 1.39% | |
| 39 | Cheers | 1.39% | |
| 40 | Walz’s | 1.39% | |
| 41 | Dachau. | 1.39% | |
| 42 | RJD | 1.39% | |
| 43 | Walz | 1.39% | |
| 44 | Democrats? | 1.39% | |
| 45 | JD | 1.39% | |
| 46 | ‘Abundance | 1.39% | |
| 47 | MAGA’s | 1.39% | |
| 48 | Businesses’ | 1.39% | |
| 49 | ‘I | 1.39% | |
| 50 | California | 1.39% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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