| 1 | Covid-19 | 1.89% | |
| 2 | Covid | 1.89% | |
| 3 | Etienne-Emile | 1.26% | |
| 4 | Death | 1.26% | |
| 5 | Ozempic | 1.26% | |
| 6 | Karnataka | 1.26% | |
| 7 | Patients | 1.26% | |
| 8 | Just | 1.26% | |
| 9 | Was | 1.26% | |
| 10 | May | 1.26% | |
| 11 | Baulieu | 1.26% | |
| 12 | Disease | 1.26% | |
| 13 | Illness | 1.26% | |
| 14 | Influenza | 0.63% | |
| 15 | Indian | 0.63% | |
| 16 | Loss | 0.63% | |
| 17 | Hot | 0.63% | |
| 18 | Maharashtras | 0.63% | |
| 19 | Risk | 0.63% | |
| 20 | CDC | 0.63% | |
| 21 | Railways | 0.63% | |
| 22 | Fiber | 0.63% | |
| 23 | Foreign | 0.63% | |
| 24 | His | 0.63% | |
| 25 | Toll | 0.63% | |
| 26 | Burden | 0.63% | |
| 27 | Bodybuilder | 0.63% | |
| 28 | Post-coronavirus | 0.63% | |
| 29 | Study | 0.63% | |
| 30 | Drugs | 0.63% | |
| 31 | Mumbai | 0.63% | |
| 32 | Warns | 0.63% | |
| 33 | Kerala | 0.63% | |
| 34 | Could | 0.63% | |
| 35 | High | 0.63% | |
| 36 | Maharashtra | 0.63% | |
| 37 | Masks | 0.63% | |
| 38 | Get | 0.63% | |
| 39 | Urges | 0.63% | |
| 40 | Later | 0.63% | |
| 41 | New | 0.63% | |
| 42 | (COVID-19) | 0.63% | |
| 43 | CA | 0.63% | |
| 44 | Super | 0.63% | |
| 45 | N.J. | 0.63% | |
| 46 | Greater | 0.63% | |
| 47 | TikTok? | 0.63% | |
| 48 | Update | 0.63% | |
| 49 | Vegas | 0.63% | |
| 50 | Junk | 0.63% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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