| 1 | China | 5.2% | |
| 2 | India | 4% | |
| 3 | Korea | 2.4% | |
| 4 | Air | 2.4% | |
| 5 | Trump | 2.4% | |
| 6 | South | 2% | |
| 7 | Trump’s | 2% | |
| 8 | China’s | 2% | |
| 9 | Iran | 1.6% | |
| 10 | Israel | 1.6% | |
| 11 | America | 1.6% | |
| 12 | US | 1.6% | |
| 13 | Hong | 1.2% | |
| 14 | New | 1.2% | |
| 15 | Kong | 1.2% | |
| 16 | Plane | 1.2% | |
| 17 | North | 1.2% | |
| 18 | Trade | 0.8% | |
| 19 | Harvard | 0.8% | |
| 20 | Thailand | 0.8% | |
| 21 | Crash? | 0.8% | |
| 22 | Russia | 0.8% | |
| 23 | State | 0.8% | |
| 24 | Korea’s | 0.8% | |
| 25 | Safety | 0.8% | |
| 26 | Crash | 0.8% | |
| 27 | Start | 0.8% | |
| 28 | U.S. | 0.8% | |
| 29 | UK | 0.8% | |
| 30 | Taiwan | 0.8% | |
| 31 | Cambodia | 0.8% | |
| 32 | Fresh | 0.4% | |
| 33 | Dnipropetrovsk | 0.4% | |
| 34 | Bali | 0.4% | |
| 35 | Raised | 0.4% | |
| 36 | ‘Maybe | 0.4% | |
| 37 | Australia | 0.4% | |
| 38 | Sumba | 0.4% | |
| 39 | Yorker | 0.4% | |
| 40 | Ending’ | 0.4% | |
| 41 | Service | 0.4% | |
| 42 | Walls | 0.4% | |
| 43 | Lam’s | 0.4% | |
| 44 | Lennon | 0.4% | |
| 45 | Bougainville | 0.4% | |
| 46 | Global | 0.4% | |
| 47 | Boeing | 0.4% | |
| 48 | Indonesia’s | 0.4% | |
| 49 | Had | 0.4% | |
| 50 | Tibetan | 0.4% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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