| 1 | New | 3.57% | |
| 2 | Covid | 3.57% | |
| 3 | Study | 1.79% | |
| 4 | Pune | 1.79% | |
| 5 | India | 1.79% | |
| 6 | COVID-19 | 1.79% | |
| 7 | Forecast | 1.79% | |
| 8 | Cases | 1.79% | |
| 9 | News | 1.79% | |
| 10 | Maharashtra; | 0.89% | |
| 11 | Persistent | 0.89% | |
| 12 | Immune | 0.89% | |
| 13 | Less | 0.89% | |
| 14 | Gujarat | 0.89% | |
| 15 | Gut | 0.89% | |
| 16 | Fresh | 0.89% | |
| 17 | Covid-19 | 0.89% | |
| 18 | Maharashtras | 0.89% | |
| 19 | June | 0.89% | |
| 20 | Yorker | 0.89% | |
| 21 | Viral | 0.89% | |
| 22 | Breathing | 0.89% | |
| 23 | Users | 0.89% | |
| 24 | Cross | 0.89% | |
| 25 | Youre | 0.89% | |
| 26 | Highest | 0.89% | |
| 27 | Mumbai | 0.89% | |
| 28 | Teeth | 0.89% | |
| 29 | Times | 0.89% | |
| 30 | Maharashtra | 0.89% | |
| 31 | Time | 0.89% | |
| 32 | Nellore | 0.89% | |
| 33 | Common | 0.89% | |
| 34 | Buzzy | 0.89% | |
| 35 | Post-COVID | 0.89% | |
| 36 | Utah | 0.89% | |
| 37 | Links | 0.89% | |
| 38 | Awareness | 0.89% | |
| 39 | Breaking | 0.89% | |
| 40 | N.J. | 0.89% | |
| 41 | Ardern’s | 0.89% | |
| 42 | Expert | 0.89% | |
| 43 | Vitamin | 0.89% | |
| 44 | Healing | 0.89% | |
| 45 | Cruises | 0.89% | |
| 46 | Mark; | 0.89% | |
| 47 | Former | 0.89% | |
| 48 | Haryana | 0.89% | |
| 49 | Salmonella | 0.89% | |
| 50 | Dame | 0.89% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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