| 1 | Karnataka | 1.48% | |
| 2 | Covid-19 | 1.48% | |
| 3 | India | 1.48% | |
| 4 | May | 1.48% | |
| 5 | Covid | 1.48% | |
| 6 | His | 0.99% | |
| 7 | Etienne-Emile | 0.99% | |
| 8 | Was | 0.99% | |
| 9 | Maharashtra | 0.99% | |
| 10 | Food | 0.99% | |
| 11 | Just | 0.99% | |
| 12 | COVID-19 | 0.99% | |
| 13 | Baulieu | 0.99% | |
| 14 | My | 0.99% | |
| 15 | Disease | 0.99% | |
| 16 | Day?With | 0.49% | |
| 17 | Life. | 0.49% | |
| 18 | Hot | 0.49% | |
| 19 | Maharashtras | 0.49% | |
| 20 | Symptomatic | 0.49% | |
| 21 | Office | 0.49% | |
| 22 | (COVID-19) | 0.49% | |
| 23 | Toll | 0.49% | |
| 24 | Burden | 0.49% | |
| 25 | Bodybuilder | 0.49% | |
| 26 | Post-coronavirus | 0.49% | |
| 27 | Study | 0.49% | |
| 28 | Mumbai | 0.49% | |
| 29 | Joyita | 0.49% | |
| 30 | Outbreak | 0.49% | |
| 31 | Depression | 0.49% | |
| 32 | Kerala | 0.49% | |
| 33 | Actor-influencer | 0.49% | |
| 34 | High | 0.49% | |
| 35 | Medical | 0.49% | |
| 36 | Vaccines | 0.49% | |
| 37 | Protein | 0.49% | |
| 38 | Night | 0.49% | |
| 39 | Isn’t | 0.49% | |
| 40 | Urges | 0.49% | |
| 41 | Later | 0.49% | |
| 42 | Utah | 0.49% | |
| 43 | Weighed | 0.49% | |
| 44 | Infectious | 0.49% | |
| 45 | Sickens | 0.49% | |
| 46 | Super | 0.49% | |
| 47 | Condition | 0.49% | |
| 48 | N.J. | 0.49% | |
| 49 | Expert | 0.49% | |
| 50 | Greater | 0.49% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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