| 1 | China | 4.69% | |
| 2 | Russia | 3.13% | |
| 3 | Lee | 3.13% | |
| 4 | Indias | 3.13% | |
| 5 | US | 3.13% | |
| 6 | Jae-myung | 3.13% | |
| 7 | ?Time | 1.56% | |
| 8 | PL-15 | 1.56% | |
| 9 | Dnipropetrovsk | 1.56% | |
| 10 | Hot | 1.56% | |
| 11 | State | 1.56% | |
| 12 | Damaged | 1.56% | |
| 13 | Asian | 1.56% | |
| 14 | Taiwan’s | 1.56% | |
| 15 | Chinas | 1.56% | |
| 16 | Golden | 1.56% | |
| 17 | Indonesia | 1.56% | |
| 18 | Israel | 1.56% | |
| 19 | Dome | 1.56% | |
| 20 | Scary | 1.56% | |
| 21 | Li | 1.56% | |
| 22 | Manipur | 1.56% | |
| 23 | Eternal | 1.56% | |
| 24 | Pacific’s | 1.56% | |
| 25 | Mecca | 1.56% | |
| 26 | India | 1.56% | |
| 27 | Kong | 1.56% | |
| 28 | Gaza | 1.56% | |
| 29 | North | 1.56% | |
| 30 | AI | 1.56% | |
| 31 | London | 1.56% | |
| 32 | OPINION | 1.56% | |
| 33 | Imprisoned | 1.56% | |
| 34 | Tiananmen | 1.56% | |
| 35 | Wong | 1.56% | |
| 36 | Kent | 1.56% | |
| 37 | Lessons | 1.56% | |
| 38 | Hong | 1.56% | |
| 39 | Korea | 1.56% | |
| 40 | Musk | 1.56% | |
| 41 | Qiang’s | 1.56% | |
| 42 | Ukraine’s | 1.56% | |
| 43 | Joshua | 1.56% | |
| 44 | Russia’s | 1.56% | |
| 45 | Jamming | 1.56% | |
| 46 | Curfew | 1.56% | |
| 47 | US-China | 1.56% | |
| 48 | Pop’s | 1.56% | |
| 49 | Elon | 1.56% | |
| 50 | Ukraine | 1.56% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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