| 1 | Trump | 3.77% | |
| 2 | China’s | 3.77% | |
| 3 | Russia | 2.83% | |
| 4 | Lee | 2.83% | |
| 5 | China | 2.83% | |
| 6 | Ukraine’s | 2.83% | |
| 7 | Trump’s | 2.83% | |
| 8 | India | 1.89% | |
| 9 | Korea’s | 1.89% | |
| 10 | Xi | 1.89% | |
| 11 | Indonesia | 1.89% | |
| 12 | Europe | 1.89% | |
| 13 | North | 1.89% | |
| 14 | US | 1.89% | |
| 15 | Jae-myung | 1.89% | |
| 16 | Insults | 0.94% | |
| 17 | June | 0.94% | |
| 18 | America | 0.94% | |
| 19 | anti-China | 0.94% | |
| 20 | Friday | 0.94% | |
| 21 | Trees | 0.94% | |
| 22 | Chinas | 0.94% | |
| 23 | New | 0.94% | |
| 24 | Golden | 0.94% | |
| 25 | Trade | 0.94% | |
| 26 | ‘Godfather | 0.94% | |
| 27 | Japan’s | 0.94% | |
| 28 | PM | 0.94% | |
| 29 | F-15EX | 0.94% | |
| 30 | Dwindling | 0.94% | |
| 31 | Danantara | 0.94% | |
| 32 | Dome | 0.94% | |
| 33 | Li | 0.94% | |
| 34 | Middle | 0.94% | |
| 35 | Ancient | 0.94% | |
| 36 | Trojan | 0.94% | |
| 37 | Wild | 0.94% | |
| 38 | Pacific’s | 0.94% | |
| 39 | Mecca | 0.94% | |
| 40 | Ground | 0.94% | |
| 41 | Kong | 0.94% | |
| 42 | Thailand | 0.94% | |
| 43 | Ispace | 0.94% | |
| 44 | Bengaluru | 0.94% | |
| 45 | Hong | 0.94% | |
| 46 | TikTok | 0.94% | |
| 47 | Koreans | 0.94% | |
| 48 | Malaysia | 0.94% | |
| 49 | J-10 | 0.94% | |
| 50 | Imprisoned | 0.94% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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