| 1 | India | 5.08% | |
| 2 | Maharashtra | 3.39% | |
| 3 | Expert | 3.39% | |
| 4 | Health | 3.39% | |
| 5 | US | 3.39% | |
| 6 | Gut | 1.69% | |
| 7 | Reveals | 1.69% | |
| 8 | Still | 1.69% | |
| 9 | Why | 1.69% | |
| 10 | ‘Americans | 1.69% | |
| 11 | Vaccine | 1.69% | |
| 12 | Areas | 1.69% | |
| 13 | COVID-19? | 1.69% | |
| 14 | Coddling | 1.69% | |
| 15 | Tens | 1.69% | |
| 16 | Times | 1.69% | |
| 17 | Rural | 1.69% | |
| 18 | SBA | 1.69% | |
| 19 | Vaccines | 1.69% | |
| 20 | Die’ | 1.69% | |
| 21 | National | 1.69% | |
| 22 | $4.6B | 1.69% | |
| 23 | Ex-Wife | 1.69% | |
| 24 | Are | 1.69% | |
| 25 | Virology | 1.69% | |
| 26 | Dire | 1.69% | |
| 27 | Recommended? | 1.69% | |
| 28 | Daughter. | 1.69% | |
| 29 | Root | 1.69% | |
| 30 | Consequences. | 1.69% | |
| 31 | Help! | 1.69% | |
| 32 | Hong | 1.69% | |
| 33 | Donations | 1.69% | |
| 34 | Left | 1.69% | |
| 35 | Heres | 1.69% | |
| 36 | Kong | 1.69% | |
| 37 | COVID-19 | 1.69% | |
| 38 | Suffering | 1.69% | |
| 39 | Mass. | 1.69% | |
| 40 | July | 1.69% | |
| 41 | It’s | 1.69% | |
| 42 | C.D.C. | 1.69% | |
| 43 | Blood | 1.69% | |
| 44 | April | 1.69% | |
| 45 | UK | 1.69% | |
| 46 | ONS | 1.69% | |
| 47 | Our | 1.69% | |
| 48 | Hindustan | 1.69% | |
| 49 | Institute | 1.69% | |
| 50 | My | 1.69% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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