| 1 | COVID | 7.41% | |
| 2 | Against | 7.41% | |
| 3 | California | 3.7% | |
| 4 | Damage | 3.7% | |
| 5 | Sikkim | 3.7% | |
| 6 | Covid-19 | 3.7% | |
| 7 | Vaccine | 3.7% | |
| 8 | Infection | 3.7% | |
| 9 | Jabalpur | 3.7% | |
| 10 | Woman | 3.7% | |
| 11 | Video | 3.7% | |
| 12 | Kidney | 3.7% | |
| 13 | Raleigh | 3.7% | |
| 14 | MPs | 3.7% | |
| 15 | Delivery | 3.7% | |
| 16 | Dies | 3.7% | |
| 17 | COVID-19 | 3.7% | |
| 18 | Schools | 3.7% | |
| 19 | Week | 3.7% | |
| 20 | Shortly | 3.7% | |
| 21 | Protects | 3.7% | |
| 22 | Urged | 3.7% | |
| 23 | Over | 3.7% | |
| 24 | Measures | 3.7% | |
| 25 | Precautionary | 3.7% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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