| 1 | COVID-19 | 8.11% | |
| 2 | Incurable | 2.7% | |
| 3 | Hiltzik | 2.7% | |
| 4 | Bad | 2.7% | |
| 5 | Guillain-Barre | 2.7% | |
| 6 | Their | 2.7% | |
| 7 | Risk | 2.7% | |
| 8 | Honolulu | 2.7% | |
| 9 | Syndrome | 2.7% | |
| 10 | Sabah | 2.7% | |
| 11 | Babies | 2.7% | |
| 12 | Vaccines | 2.7% | |
| 13 | Are | 2.7% | |
| 14 | New | 2.7% | |
| 15 | Trade | 2.7% | |
| 16 | Things | 2.7% | |
| 17 | Kokua | 2.7% | |
| 18 | School | 2.7% | |
| 19 | Health | 2.7% | |
| 20 | EM | 2.7% | |
| 21 | Diseases? | 2.7% | |
| 22 | Star | 2.7% | |
| 23 | Wildly | 2.7% | |
| 24 | People | 2.7% | |
| 25 | Realize | 2.7% | |
| 26 | Daily | 2.7% | |
| 27 | Line | 2.7% | |
| 28 | IgA | 2.7% | |
| 29 | Asia | 2.7% | |
| 30 | Linked | 2.7% | |
| 31 | Bill | 2.7% | |
| 32 | Dont | 2.7% | |
| 33 | Certain | 2.7% | |
| 34 | Test | 2.7% | |
| 35 | IMF | 2.7% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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