| 1 | Taylor | 1.8% | |
| 2 | Baby | 1.8% | |
| 3 | Reindeer | 1.8% | |
| 4 | Swift | 0.9% | |
| 5 | Daniela | 0.9% | |
| 6 | Prime | 0.9% | |
| 7 | ‘brutal’ | 0.9% | |
| 8 | Figueroa | 0.9% | |
| 9 | Style | 0.9% | |
| 10 | Merrick | 0.9% | |
| 11 | Office | 0.9% | |
| 12 | ‘We | 0.9% | |
| 13 | Tortured | 0.9% | |
| 14 | VERDAD | 0.9% | |
| 15 | MGM | 0.9% | |
| 16 | Dunst | 0.9% | |
| 17 | Como | 0.9% | |
| 18 | Pearl | 0.9% | |
| 19 | Hollywood | 0.9% | |
| 20 | Peso | 0.9% | |
| 21 | ‘La | 0.9% | |
| 22 | Neumann | 0.9% | |
| 23 | Tinelli | 0.9% | |
| 24 | Coachella | 0.9% | |
| 25 | Kaminski | 0.9% | |
| 26 | Jam | 0.9% | |
| 27 | ¿A | 0.9% | |
| 28 | Quijano | 0.9% | |
| 29 | James | 0.9% | |
| 30 | Walter | 0.9% | |
| 31 | Video | 0.9% | |
| 32 | Arte | 0.9% | |
| 33 | Iran | 0.9% | |
| 34 | Europa | 0.9% | |
| 35 | Tierra | 0.9% | |
| 36 | Jessica | 0.9% | |
| 37 | Stewart | 0.9% | |
| 38 | Aranguiz | 0.9% | |
| 39 | Department | 0.9% | |
| 40 | Soweto; | 0.9% | |
| 41 | BBB | 0.9% | |
| 42 | HOY | 0.9% | |
| 43 | LAM | 0.9% | |
| 44 | Davi | 0.9% | |
| 45 | Mernes | 0.9% | |
| 46 | Pluma | 0.9% | |
| 47 | Israel | 0.9% | |
| 48 | Pyongyang? | 0.9% | |
| 49 | Unidos | 0.9% | |
| 50 | ‘Podcast’ | 0.9% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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