| 1 | NYC | 2.99% | |
| 2 | DC | 2.24% | |
| 3 | New | 2.24% | |
| 4 | Review | 1.49% | |
| 5 | Ice | 1.49% | |
| 6 | Down | 1.49% | |
| 7 | York | 1.49% | |
| 8 | Melissa | 1.49% | |
| 9 | L.A. | 1.49% | |
| 10 | Impact | 1.49% | |
| 11 | Around | 1.49% | |
| 12 | Adams | 1.49% | |
| 13 | D.C. | 1.49% | |
| 14 | Sizzle | 0.75% | |
| 15 | Federal | 0.75% | |
| 16 | Arrests | 0.75% | |
| 17 | Controller | 0.75% | |
| 18 | State | 0.75% | |
| 19 | Tour | 0.75% | |
| 20 | Continue | 0.75% | |
| 21 | Brunch | 0.75% | |
| 22 | ‘queen’ | 0.75% | |
| 23 | Woman | 0.75% | |
| 24 | Bagels | 0.75% | |
| 25 | Club’s | 0.75% | |
| 26 | Nope | 0.75% | |
| 27 | NYC’s | 0.75% | |
| 28 | Crypto | 0.75% | |
| 29 | HH | 0.75% | |
| 30 | Related | 0.75% | |
| 31 | Bears | 0.75% | |
| 32 | Supreme | 0.75% | |
| 33 | Tennessee | 0.75% | |
| 34 | Beautiful | 0.75% | |
| 35 | Jesika | 0.75% | |
| 36 | Raids | 0.75% | |
| 37 | Racial | 0.75% | |
| 38 | Eat | 0.75% | |
| 39 | Youth | 0.75% | |
| 40 | Step | 0.75% | |
| 41 | Sneako | 0.75% | |
| 42 | Mark | 0.75% | |
| 43 | Columbia | 0.75% | |
| 44 | Spots | 0.75% | |
| 45 | City | 0.75% | |
| 46 | Boulevard | 0.75% | |
| 47 | Daughters’ | 0.75% | |
| 48 | Cub | 0.75% | |
| 49 | Desert | 0.75% | |
| 50 | Anti-ICE | 0.75% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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