| 1 | Twin | 1.54% | |
| 2 | County | 1.54% | |
| 3 | Cities | 1.54% | |
| 4 | US | 1.54% | |
| 5 | Lead | 0.77% | |
| 6 | Culture | 0.77% | |
| 7 | Changed | 0.77% | |
| 8 | ‘Diddy’ | 0.77% | |
| 9 | Macron | 0.77% | |
| 10 | Covid-19 | 0.77% | |
| 11 | Celebrate | 0.77% | |
| 12 | Fees | 0.77% | |
| 13 | Vigilance | 0.77% | |
| 14 | Brooklyn | 0.77% | |
| 15 | Georgias | 0.77% | |
| 16 | Cheng | 0.77% | |
| 17 | Continue | 0.77% | |
| 18 | High | 0.77% | |
| 19 | Putin | 0.77% | |
| 20 | Senate | 0.77% | |
| 21 | Hoyo | 0.77% | |
| 22 | Croissants | 0.77% | |
| 23 | Urges | 0.77% | |
| 24 | Tribune | 0.77% | |
| 25 | Homeland | 0.77% | |
| 26 | Are | 0.77% | |
| 27 | NYC’s | 0.77% | |
| 28 | New | 0.77% | |
| 29 | Dupont | 0.77% | |
| 30 | Yuen | 0.77% | |
| 31 | Unexpected | 0.77% | |
| 32 | Life | 0.77% | |
| 33 | Annenberg | 0.77% | |
| 34 | Temps | 0.77% | |
| 35 | Restaurant | 0.77% | |
| 36 | Supreme | 0.77% | |
| 37 | Rachel | 0.77% | |
| 38 | Rise | 0.77% | |
| 39 | Courts | 0.77% | |
| 40 | Jon | 0.77% | |
| 41 | Hamilton/Wayne/White | 0.77% | |
| 42 | Minneapolis | 0.77% | |
| 43 | Security | 0.77% | |
| 44 | Administration | 0.77% | |
| 45 | Column | 0.77% | |
| 46 | Moscow | 0.77% | |
| 47 | Salsa | 0.77% | |
| 48 | Singer | 0.77% | |
| 49 | C.E.O.s | 0.77% | |
| 50 | Slams | 0.77% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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