| 1 | India | 1.66% | |
| 2 | Covid | 1.38% | |
| 3 | New | 1.24% | |
| 4 | COVID | 0.97% | |
| 5 | COVID-19 | 0.97% | |
| 6 | Covid-19 | 0.97% | |
| 7 | Neymar | 0.69% | |
| 8 | Maharashtra | 0.69% | |
| 9 | China | 0.69% | |
| 10 | Study | 0.69% | |
| 11 | June | 0.55% | |
| 12 | Coronavirus | 0.55% | |
| 13 | Pune | 0.55% | |
| 14 | Cases | 0.55% | |
| 15 | Forecast | 0.55% | |
| 16 | News | 0.55% | |
| 17 | Out | 0.55% | |
| 18 | May | 0.55% | |
| 19 | Gujarat | 0.41% | |
| 20 | US | 0.41% | |
| 21 | Hindustan | 0.41% | |
| 22 | Guwahati | 0.41% | |
| 23 | Linked | 0.41% | |
| 24 | Your | 0.41% | |
| 25 | Americas | 0.41% | |
| 26 | Dementia | 0.41% | |
| 27 | Never | 0.41% | |
| 28 | Salmonella | 0.41% | |
| 29 | About | 0.41% | |
| 30 | Times | 0.41% | |
| 31 | IIT | 0.41% | |
| 32 | Expert | 0.28% | |
| 33 | Mumbai | 0.28% | |
| 34 | Heres | 0.28% | |
| 35 | Training | 0.28% | |
| 36 | Highest | 0.28% | |
| 37 | Are | 0.28% | |
| 38 | Former | 0.28% | |
| 39 | Ozempic | 0.28% | |
| 40 | Awareness | 0.28% | |
| 41 | Women | 0.28% | |
| 42 | Things | 0.28% | |
| 43 | Nellore | 0.28% | |
| 44 | Golden | 0.28% | |
| 45 | Mark; | 0.28% | |
| 46 | Mountain | 0.28% | |
| 47 | Common | 0.28% | |
| 48 | Cross | 0.28% | |
| 49 | Something | 0.28% | |
| 50 | Maharashtras | 0.28% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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