| 1 | China | 4.48% | |
| 2 | China’s | 3.36% | |
| 3 | Iran | 2.99% | |
| 4 | India | 2.99% | |
| 5 | Trump | 2.99% | |
| 6 | Air | 2.61% | |
| 7 | Hong | 1.87% | |
| 8 | Kong | 1.87% | |
| 9 | New | 1.49% | |
| 10 | Cambodia | 1.49% | |
| 11 | Korea | 1.12% | |
| 12 | Israel | 1.12% | |
| 13 | Thai | 1.12% | |
| 14 | U.S. | 1.12% | |
| 15 | US | 1.12% | |
| 16 | Chinese | 1.12% | |
| 17 | Trump’s | 1.12% | |
| 18 | Taiwan | 1.12% | |
| 19 | America | 0.75% | |
| 20 | Israel’s | 0.75% | |
| 21 | Ban | 0.75% | |
| 22 | Leader | 0.75% | |
| 23 | G7 | 0.75% | |
| 24 | Thailand | 0.75% | |
| 25 | France | 0.75% | |
| 26 | Crash | 0.75% | |
| 27 | Marcos | 0.75% | |
| 28 | Lao | 0.75% | |
| 29 | Iran’s | 0.75% | |
| 30 | South | 0.75% | |
| 31 | Huawei | 0.37% | |
| 32 | Japan | 0.37% | |
| 33 | Walls | 0.37% | |
| 34 | Own | 0.37% | |
| 35 | Lennon | 0.37% | |
| 36 | State | 0.37% | |
| 37 | Damaged | 0.37% | |
| 38 | Global | 0.37% | |
| 39 | Killing | 0.37% | |
| 40 | Sea | 0.37% | |
| 41 | Tibetan | 0.37% | |
| 42 | Safest | 0.37% | |
| 43 | Move | 0.37% | |
| 44 | Mend | 0.37% | |
| 45 | Examines | 0.37% | |
| 46 | Cuomo’s | 0.37% | |
| 47 | Russia | 0.37% | |
| 48 | Korea’s | 0.37% | |
| 49 | Flight | 0.37% | |
| 50 | PM’s | 0.37% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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