| 1 | COVID-19 | 2.47% | |
| 2 | New | 1.85% | |
| 3 | Covid | 1.85% | |
| 4 | Covid-19 | 1.23% | |
| 5 | CDC | 0.93% | |
| 6 | COVID | 0.93% | |
| 7 | City | 0.93% | |
| 8 | Bengaluru | 0.93% | |
| 9 | FDA | 0.93% | |
| 10 | Pradesh | 0.62% | |
| 11 | Vaccines | 0.62% | |
| 12 | Partnership | 0.62% | |
| 13 | Home | 0.62% | |
| 14 | Andhra | 0.62% | |
| 15 | York | 0.62% | |
| 16 | Surprising | 0.62% | |
| 17 | Are | 0.62% | |
| 18 | Vaccine | 0.62% | |
| 19 | Former | 0.62% | |
| 20 | Mumbai | 0.62% | |
| 21 | Who | 0.62% | |
| 22 | Pune | 0.62% | |
| 23 | May | 0.62% | |
| 24 | Dr. | 0.62% | |
| 25 | Cases | 0.62% | |
| 26 | Know | 0.62% | |
| 27 | That | 0.62% | |
| 28 | Sentenced | 0.62% | |
| 29 | Through | 0.31% | |
| 30 | Coronavirus | 0.31% | |
| 31 | Childhood | 0.31% | |
| 32 | Peter | 0.31% | |
| 33 | Gujarat | 0.31% | |
| 34 | Bad | 0.31% | |
| 35 | France | 0.31% | |
| 36 | Shah | 0.31% | |
| 37 | Fresh | 0.31% | |
| 38 | Increases | 0.31% | |
| 39 | Degeneration | 0.31% | |
| 40 | Vision | 0.31% | |
| 41 | VERY | 0.31% | |
| 42 | Really | 0.31% | |
| 43 | Risk | 0.31% | |
| 44 | Day | 0.31% | |
| 45 | June | 0.31% | |
| 46 | Hypertension | 0.31% | |
| 47 | Delhi-NCR | 0.31% | |
| 48 | Weekly | 0.31% | |
| 49 | Triggers | 0.31% | |
| 50 | Wuhan | 0.31% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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