| 1 | China | 4.76% | |
| 2 | Korea | 2.98% | |
| 3 | India | 2.98% | |
| 4 | South | 2.98% | |
| 5 | China’s | 2.38% | |
| 6 | North | 1.79% | |
| 7 | Trump’s | 1.79% | |
| 8 | Hong | 1.19% | |
| 9 | US-China | 1.19% | |
| 10 | Harvard | 1.19% | |
| 11 | America | 1.19% | |
| 12 | Korea’s | 1.19% | |
| 13 | Kong | 1.19% | |
| 14 | Safety | 1.19% | |
| 15 | Air | 1.19% | |
| 16 | Plane | 1.19% | |
| 17 | AI | 1.19% | |
| 18 | Musk | 1.19% | |
| 19 | UK | 1.19% | |
| 20 | Trump | 1.19% | |
| 21 | US | 1.19% | |
| 22 | Taiwan | 1.19% | |
| 23 | Crash | 0.6% | |
| 24 | ‘Maybe | 0.6% | |
| 25 | Australia | 0.6% | |
| 26 | Sumba | 0.6% | |
| 27 | Ending’ | 0.6% | |
| 28 | Service | 0.6% | |
| 29 | Walls | 0.6% | |
| 30 | Lennon | 0.6% | |
| 31 | State | 0.6% | |
| 32 | Damaged | 0.6% | |
| 33 | Bougainville | 0.6% | |
| 34 | Boeing | 0.6% | |
| 35 | Indonesia’s | 0.6% | |
| 36 | Had | 0.6% | |
| 37 | Japan-South | 0.6% | |
| 38 | Asian | 0.6% | |
| 39 | Brings | 0.6% | |
| 40 | Pope | 0.6% | |
| 41 | Taiwan’s | 0.6% | |
| 42 | Russia | 0.6% | |
| 43 | Flight | 0.6% | |
| 44 | Are | 0.6% | |
| 45 | Trade | 0.6% | |
| 46 | Loud | 0.6% | |
| 47 | Indonesia | 0.6% | |
| 48 | Happy | 0.6% | |
| 49 | Europe | 0.6% | |
| 50 | Israel | 0.6% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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