| 1 | Diddy | 2.4% | |
| 2 | Combs | 1.6% | |
| 3 | She | 1.6% | |
| 4 | Actor | 1.6% | |
| 5 | Sean | 1.6% | |
| 6 | Grown) | 0.8% | |
| 7 | Jason | 0.8% | |
| 8 | Waiting | 0.8% | |
| 9 | Turnbull | 0.8% | |
| 10 | Text | 0.8% | |
| 11 | Shown | 0.8% | |
| 12 | Midlife | 0.8% | |
| 13 | Empire’ | 0.8% | |
| 14 | Hager | 0.8% | |
| 15 | Celebrate | 0.8% | |
| 16 | Hot | 0.8% | |
| 17 | Cassie | 0.8% | |
| 18 | Than’ | 0.8% | |
| 19 | Original | 0.8% | |
| 20 | Brooklyn | 0.8% | |
| 21 | Transformation | 0.8% | |
| 22 | Billboard | 0.8% | |
| 23 | Dutch | 0.8% | |
| 24 | Juror | 0.8% | |
| 25 | ‘Amsterdam | 0.8% | |
| 26 | For | 0.8% | |
| 27 | Asked | 0.8% | |
| 28 | Lying | 0.8% | |
| 29 | Terrible | 0.8% | |
| 30 | Cher’s | 0.8% | |
| 31 | Been | 0.8% | |
| 32 | Stitch | 0.8% | |
| 33 | Bell | 0.8% | |
| 34 | Photo | 0.8% | |
| 35 | Equal | 0.8% | |
| 36 | Lotus’ | 0.8% | |
| 37 | Jenna | 0.8% | |
| 38 | Kenui | 0.8% | |
| 39 | Work | 0.8% | |
| 40 | Isaacs | 0.8% | |
| 41 | Screening | 0.8% | |
| 42 | Earned | 0.8% | |
| 43 | Each | 0.8% | |
| 44 | Major | 0.8% | |
| 45 | Money’ | 0.8% | |
| 46 | Posts | 0.8% | |
| 47 | Island | 0.8% | |
| 48 | Perceived | 0.8% | |
| 49 | Chestnut | 0.8% | |
| 50 | Brad | 0.8% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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