| 1 | Trump | 8.11% | |
| 2 | China’s | 5.41% | |
| 3 | Lander | 2.7% | |
| 4 | Insults | 2.7% | |
| 5 | anti-China | 2.7% | |
| 6 | Friday | 2.7% | |
| 7 | Russia | 2.7% | |
| 8 | Korea’s | 2.7% | |
| 9 | Trade | 2.7% | |
| 10 | ‘Godfather | 2.7% | |
| 11 | Japan’s | 2.7% | |
| 12 | Indonesia | 2.7% | |
| 13 | Europe | 2.7% | |
| 14 | Lee | 2.7% | |
| 15 | Middle | 2.7% | |
| 16 | Trojan | 2.7% | |
| 17 | Xi | 2.7% | |
| 18 | Korea | 2.7% | |
| 19 | Ispace | 2.7% | |
| 20 | North | 2.7% | |
| 21 | Koreans | 2.7% | |
| 22 | Moon | 2.7% | |
| 23 | Musk | 2.7% | |
| 24 | Crashed | 2.7% | |
| 25 | Resilience | 2.7% | |
| 26 | Briefing | 2.7% | |
| 27 | Trumps | 2.7% | |
| 28 | US | 2.7% | |
| 29 | Has | 2.7% | |
| 30 | South | 2.7% | |
| 31 | East | 2.7% | |
| 32 | AI’ | 2.7% | |
| 33 | Trump’s | 2.7% | |
| 34 | India | 2.7% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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