| 1 | COVID-19 | 2.3% | |
| 2 | Covid-19 | 1.84% | |
| 3 | Health | 1.38% | |
| 4 | New | 1.38% | |
| 5 | Covid | 1.38% | |
| 6 | US | 1.15% | |
| 7 | India | 0.92% | |
| 8 | According | 0.92% | |
| 9 | Maharashtra | 0.69% | |
| 10 | Albertans | 0.69% | |
| 11 | Times | 0.46% | |
| 12 | Common | 0.46% | |
| 13 | Karnataka | 0.46% | |
| 14 | Loss | 0.46% | |
| 15 | Deck’ | 0.46% | |
| 16 | Pandemic | 0.46% | |
| 17 | Study | 0.46% | |
| 18 | Hospital | 0.46% | |
| 19 | Jabalpur | 0.46% | |
| 20 | Vaccine | 0.46% | |
| 21 | Moderna’s | 0.46% | |
| 22 | People | 0.46% | |
| 23 | More | 0.46% | |
| 24 | Most | 0.46% | |
| 25 | May | 0.46% | |
| 26 | Alberta | 0.46% | |
| 27 | Research | 0.46% | |
| 28 | Much | 0.46% | |
| 29 | Could | 0.46% | |
| 30 | Christopher | 0.46% | |
| 31 | Older | 0.46% | |
| 32 | Brain | 0.46% | |
| 33 | FDA | 0.46% | |
| 34 | Woman | 0.46% | |
| 35 | Aging | 0.46% | |
| 36 | How | 0.46% | |
| 37 | Too | 0.46% | |
| 38 | No | 0.46% | |
| 39 | ‘Flyte | 0.46% | |
| 40 | South | 0.46% | |
| 41 | Disease | 0.46% | |
| 42 | Minnesota | 0.46% | |
| 43 | Post | 0.46% | |
| 44 | Avoid | 0.46% | |
| 45 | Signs | 0.23% | |
| 46 | Kristopher | 0.23% | |
| 47 | Deaths | 0.23% | |
| 48 | Vision | 0.23% | |
| 49 | Martin | 0.23% | |
| 50 | UFL | 0.23% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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