| 1 | Trump | 5.08% | |
| 2 | Xi | 3.39% | |
| 3 | India | 3.39% | |
| 4 | North | 3.39% | |
| 5 | Ukraine’s | 3.39% | |
| 6 | US | 3.39% | |
| 7 | Trump’s | 3.39% | |
| 8 | China’s | 3.39% | |
| 9 | Friday | 1.69% | |
| 10 | Russia | 1.69% | |
| 11 | Chinas | 1.69% | |
| 12 | Korea’s | 1.69% | |
| 13 | Golden | 1.69% | |
| 14 | Trade | 1.69% | |
| 15 | ‘Godfather | 1.69% | |
| 16 | Japan’s | 1.69% | |
| 17 | Indonesia | 1.69% | |
| 18 | F-15EX | 1.69% | |
| 19 | Europe | 1.69% | |
| 20 | Lee | 1.69% | |
| 21 | Dome | 1.69% | |
| 22 | Li | 1.69% | |
| 23 | Trojan | 1.69% | |
| 24 | Pacific’s | 1.69% | |
| 25 | Mecca | 1.69% | |
| 26 | Kong | 1.69% | |
| 27 | Ispace | 1.69% | |
| 28 | Hong | 1.69% | |
| 29 | Koreans | 1.69% | |
| 30 | J-10 | 1.69% | |
| 31 | Imprisoned | 1.69% | |
| 32 | Wong | 1.69% | |
| 33 | Moon | 1.69% | |
| 34 | Musk | 1.69% | |
| 35 | Qiang’s | 1.69% | |
| 36 | Crashed | 1.69% | |
| 37 | Resilience | 1.69% | |
| 38 | Korea | 1.69% | |
| 39 | Joshua | 1.69% | |
| 40 | Briefing | 1.69% | |
| 41 | Trumps | 1.69% | |
| 42 | Hot | 1.69% | |
| 43 | Has | 1.69% | |
| 44 | South | 1.69% | |
| 45 | Web | 1.69% | |
| 46 | Operation | 1.69% | |
| 47 | AI’ | 1.69% | |
| 48 | Lander | 1.69% | |
| 49 | Insults | 1.69% | |
| 50 | Spider | 1.69% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|
|||