| 1 | Trump | 4.4% | |
| 2 | Ukraine’s | 3.3% | |
| 3 | Trump’s | 3.3% | |
| 4 | China’s | 3.3% | |
| 5 | Lee | 2.2% | |
| 6 | Indonesia | 2.2% | |
| 7 | India | 2.2% | |
| 8 | Europe | 2.2% | |
| 9 | Russia | 2.2% | |
| 10 | Xi | 2.2% | |
| 11 | Korea’s | 2.2% | |
| 12 | North | 2.2% | |
| 13 | US | 2.2% | |
| 14 | Insults | 1.1% | |
| 15 | June | 1.1% | |
| 16 | anti-China | 1.1% | |
| 17 | Friday | 1.1% | |
| 18 | Trees | 1.1% | |
| 19 | Chinas | 1.1% | |
| 20 | New | 1.1% | |
| 21 | Golden | 1.1% | |
| 22 | Trade | 1.1% | |
| 23 | ‘Godfather | 1.1% | |
| 24 | Japan’s | 1.1% | |
| 25 | PM | 1.1% | |
| 26 | F-15EX | 1.1% | |
| 27 | Dwindling | 1.1% | |
| 28 | Dome | 1.1% | |
| 29 | Li | 1.1% | |
| 30 | Middle | 1.1% | |
| 31 | Ancient | 1.1% | |
| 32 | Trojan | 1.1% | |
| 33 | Wild | 1.1% | |
| 34 | Pacific’s | 1.1% | |
| 35 | Mecca | 1.1% | |
| 36 | Ground | 1.1% | |
| 37 | Kong | 1.1% | |
| 38 | Thailand | 1.1% | |
| 39 | Ispace | 1.1% | |
| 40 | Bengaluru | 1.1% | |
| 41 | Hong | 1.1% | |
| 42 | Koreans | 1.1% | |
| 43 | Malaysia | 1.1% | |
| 44 | J-10 | 1.1% | |
| 45 | Imprisoned | 1.1% | |
| 46 | Tiananmen | 1.1% | |
| 47 | Zealand | 1.1% | |
| 48 | Wong | 1.1% | |
| 49 | Moon | 1.1% | |
| 50 | China | 1.1% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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