| 1 | Trump | 4.48% | |
| 2 | Trump’s | 4.48% | |
| 3 | China’s | 4.48% | |
| 4 | Russia | 2.99% | |
| 5 | Xi | 2.99% | |
| 6 | India | 2.99% | |
| 7 | Indonesia | 2.99% | |
| 8 | North | 2.99% | |
| 9 | Ukraine’s | 2.99% | |
| 10 | US | 2.99% | |
| 11 | anti-China | 1.49% | |
| 12 | Friday | 1.49% | |
| 13 | Chinas | 1.49% | |
| 14 | Korea’s | 1.49% | |
| 15 | New | 1.49% | |
| 16 | Golden | 1.49% | |
| 17 | Trade | 1.49% | |
| 18 | ‘Godfather | 1.49% | |
| 19 | Japan’s | 1.49% | |
| 20 | PM | 1.49% | |
| 21 | F-15EX | 1.49% | |
| 22 | Europe | 1.49% | |
| 23 | Lee | 1.49% | |
| 24 | Middle | 1.49% | |
| 25 | Trojan | 1.49% | |
| 26 | Pacific’s | 1.49% | |
| 27 | Mecca | 1.49% | |
| 28 | Dome | 1.49% | |
| 29 | Kong | 1.49% | |
| 30 | Ispace | 1.49% | |
| 31 | Hong | 1.49% | |
| 32 | Koreans | 1.49% | |
| 33 | J-10 | 1.49% | |
| 34 | Imprisoned | 1.49% | |
| 35 | Zealand | 1.49% | |
| 36 | Wong | 1.49% | |
| 37 | Moon | 1.49% | |
| 38 | Musk | 1.49% | |
| 39 | Crashed | 1.49% | |
| 40 | Resilience | 1.49% | |
| 41 | Korea | 1.49% | |
| 42 | Joshua | 1.49% | |
| 43 | Briefing | 1.49% | |
| 44 | Trumps | 1.49% | |
| 45 | Hot | 1.49% | |
| 46 | Has | 1.49% | |
| 47 | South | 1.49% | |
| 48 | East | 1.49% | |
| 49 | Web | 1.49% | |
| 50 | Operation | 1.49% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|
|||