| 1 | China | 3.6% | |
| 2 | US | 3.6% | |
| 3 | Lee | 2.7% | |
| 4 | India | 2.7% | |
| 5 | Russia | 2.7% | |
| 6 | China’s | 2.7% | |
| 7 | Korea | 1.8% | |
| 8 | North | 1.8% | |
| 9 | Indonesia | 1.8% | |
| 10 | Indias | 1.8% | |
| 11 | Musk | 1.8% | |
| 12 | Ukraine’s | 1.8% | |
| 13 | Trump | 1.8% | |
| 14 | Jae-myung | 1.8% | |
| 15 | Trump’s | 1.8% | |
| 16 | Insults | 0.9% | |
| 17 | ‘Maybe | 0.9% | |
| 18 | Ending’ | 0.9% | |
| 19 | Service | 0.9% | |
| 20 | State | 0.9% | |
| 21 | Damaged | 0.9% | |
| 22 | Asian | 0.9% | |
| 23 | Friday | 0.9% | |
| 24 | Taiwan’s | 0.9% | |
| 25 | Chinas | 0.9% | |
| 26 | Golden | 0.9% | |
| 27 | Trade | 0.9% | |
| 28 | ‘Godfather | 0.9% | |
| 29 | F-15EX | 0.9% | |
| 30 | Happy | 0.9% | |
| 31 | Europe | 0.9% | |
| 32 | Israel | 0.9% | |
| 33 | Dome | 0.9% | |
| 34 | Scary | 0.9% | |
| 35 | Li | 0.9% | |
| 36 | Manipur | 0.9% | |
| 37 | Eternal | 0.9% | |
| 38 | Pacific’s | 0.9% | |
| 39 | Xi | 0.9% | |
| 40 | Mecca | 0.9% | |
| 41 | Kong | 0.9% | |
| 42 | Gaza | 0.9% | |
| 43 | Start | 0.9% | |
| 44 | AI | 0.9% | |
| 45 | Trojan | 0.9% | |
| 46 | OPINION | 0.9% | |
| 47 | Big | 0.9% | |
| 48 | RM | 0.9% | |
| 49 | Nears | 0.9% | |
| 50 | J-10 | 0.9% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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