| 1 | China | 4.02% | |
| 2 | India | 2.87% | |
| 3 | China’s | 2.87% | |
| 4 | Iran | 2.3% | |
| 5 | Air | 1.72% | |
| 6 | New | 1.72% | |
| 7 | Trump | 1.72% | |
| 8 | US | 1.72% | |
| 9 | Chinese | 1.72% | |
| 10 | Cambodia | 1.72% | |
| 11 | Hong | 1.15% | |
| 12 | Korea | 1.15% | |
| 13 | Israel | 1.15% | |
| 14 | Kong | 1.15% | |
| 15 | Thai | 1.15% | |
| 16 | America | 1.15% | |
| 17 | U.S. | 1.15% | |
| 18 | Trump’s | 1.15% | |
| 19 | Tax | 0.57% | |
| 20 | ‘Little | 0.57% | |
| 21 | Bad | 0.57% | |
| 22 | France | 0.57% | |
| 23 | Crash | 0.57% | |
| 24 | Yorker | 0.57% | |
| 25 | Huawei | 0.57% | |
| 26 | Lam’s | 0.57% | |
| 27 | State | 0.57% | |
| 28 | Damaged | 0.57% | |
| 29 | Killing | 0.57% | |
| 30 | Tibetan | 0.57% | |
| 31 | Move | 0.57% | |
| 32 | Mend | 0.57% | |
| 33 | Cuomo’s | 0.57% | |
| 34 | Russia | 0.57% | |
| 35 | PM’s | 0.57% | |
| 36 | Moscownbsp;metro? | 0.57% | |
| 37 | Ban | 0.57% | |
| 38 | Trade | 0.57% | |
| 39 | Stall | 0.57% | |
| 40 | AUKUS | 0.57% | |
| 41 | Magic | 0.57% | |
| 42 | Europe | 0.57% | |
| 43 | ex-New | 0.57% | |
| 44 | Oil | 0.57% | |
| 45 | Hegseth’s | 0.57% | |
| 46 | Veteran | 0.57% | |
| 47 | Dome | 0.57% | |
| 48 | Off | 0.57% | |
| 49 | Vietnam’s | 0.57% | |
| 50 | Ancient | 0.57% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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