| 1 | COVID-19 | 1.9% | |
| 2 | Covid-19 | 1.78% | |
| 3 | New | 1.42% | |
| 4 | Health | 1.18% | |
| 5 | Covid | 0.95% | |
| 6 | India | 0.95% | |
| 7 | May | 0.71% | |
| 8 | Study | 0.71% | |
| 9 | COVID | 0.71% | |
| 10 | US | 0.59% | |
| 11 | Cancer | 0.59% | |
| 12 | Vaccine | 0.59% | |
| 13 | According | 0.47% | |
| 14 | Woman | 0.47% | |
| 15 | Judge | 0.47% | |
| 16 | Maharashtra | 0.47% | |
| 17 | Harvard | 0.47% | |
| 18 | Times | 0.36% | |
| 19 | Active | 0.36% | |
| 20 | Albertans | 0.36% | |
| 21 | Jabalpur | 0.36% | |
| 22 | Infection | 0.36% | |
| 23 | Forecast | 0.36% | |
| 24 | U.S. | 0.36% | |
| 25 | Alberta | 0.36% | |
| 26 | mRNA | 0.36% | |
| 27 | Blood | 0.36% | |
| 28 | Brain | 0.36% | |
| 29 | Indias | 0.36% | |
| 30 | Trump | 0.36% | |
| 31 | Airport | 0.36% | |
| 32 | No | 0.36% | |
| 33 | RFK | 0.36% | |
| 34 | News | 0.36% | |
| 35 | My | 0.36% | |
| 36 | Common | 0.36% | |
| 37 | Harbor | 0.24% | |
| 38 | Too | 0.24% | |
| 39 | Up | 0.24% | |
| 40 | Years | 0.24% | |
| 41 | Own | 0.24% | |
| 42 | Jr.’s | 0.24% | |
| 43 | Punjab | 0.24% | |
| 44 | Many | 0.24% | |
| 45 | Gut | 0.24% | |
| 46 | Variant | 0.24% | |
| 47 | Loss | 0.24% | |
| 48 | Medicine | 0.24% | |
| 49 | Family | 0.24% | |
| 50 | Pandemic | 0.24% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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