| 1 | May | 1.56% | |
| 2 | Covid | 1.56% | |
| 3 | His | 1.04% | |
| 4 | Was | 1.04% | |
| 5 | Karnataka | 1.04% | |
| 6 | Etienne-Emile | 1.04% | |
| 7 | Death | 1.04% | |
| 8 | Just | 1.04% | |
| 9 | India | 1.04% | |
| 10 | COVID-19 | 1.04% | |
| 11 | Kerala | 1.04% | |
| 12 | High | 1.04% | |
| 13 | Maharashtra | 1.04% | |
| 14 | Covid-19 | 1.04% | |
| 15 | Food | 1.04% | |
| 16 | Baulieu | 1.04% | |
| 17 | My | 1.04% | |
| 18 | Disease | 1.04% | |
| 19 | Illness | 1.04% | |
| 20 | Influenza | 0.52% | |
| 21 | Day?With | 0.52% | |
| 22 | Life. | 0.52% | |
| 23 | Hot | 0.52% | |
| 24 | Maharashtras | 0.52% | |
| 25 | Risk | 0.52% | |
| 26 | CDC | 0.52% | |
| 27 | (COVID-19) | 0.52% | |
| 28 | Toll | 0.52% | |
| 29 | Burden | 0.52% | |
| 30 | Bodybuilder | 0.52% | |
| 31 | Post-coronavirus | 0.52% | |
| 32 | Study | 0.52% | |
| 33 | Mumbai | 0.52% | |
| 34 | Warns | 0.52% | |
| 35 | Outbreak | 0.52% | |
| 36 | Depression | 0.52% | |
| 37 | Medical | 0.52% | |
| 38 | Protein | 0.52% | |
| 39 | Night | 0.52% | |
| 40 | Isn’t | 0.52% | |
| 41 | Later | 0.52% | |
| 42 | Utah | 0.52% | |
| 43 | Infectious | 0.52% | |
| 44 | Sickens | 0.52% | |
| 45 | Super | 0.52% | |
| 46 | Condition | 0.52% | |
| 47 | N.J. | 0.52% | |
| 48 | Greater | 0.52% | |
| 49 | Patients | 0.52% | |
| 50 | TikTok? | 0.52% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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