| 1 | Politics | 6.67% | |
| 2 | California | 3.33% | |
| 3 | Ohio | 3.33% | |
| 4 | CDS | 3.33% | |
| 5 | ‘Nobody | 3.33% | |
| 6 | New | 3.33% | |
| 7 | Congress | 3.33% | |
| 8 | Pratap | 3.33% | |
| 9 | George | 3.33% | |
| 10 | After | 3.33% | |
| 11 | Multipolar | 3.33% | |
| 12 | Dems | 3.33% | |
| 13 | Overstory | 3.33% | |
| 14 | Lebanon | 3.33% | |
| 15 | Political | 3.33% | |
| 16 | Lalu-Tej | 3.33% | |
| 17 | Role | 3.33% | |
| 18 | Wendt’s | 3.33% | |
| 19 | Cheers | 3.33% | |
| 20 | Walz’s | 3.33% | |
| 21 | RJD | 3.33% | |
| 22 | Businesses’ | 3.33% | |
| 23 | Tim | 3.33% | |
| 24 | Art | 3.33% | |
| 25 | BJP | 3.33% | |
| 26 | Order | 3.33% | |
| 27 | Syria | 3.33% | |
| 28 | Boehner | 3.33% | |
| 29 | John | 3.33% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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