| 1 | China | 4.43% | |
| 2 | India | 2.96% | |
| 3 | Korea | 2.46% | |
| 4 | Trump’s | 2.46% | |
| 5 | China’s | 2.46% | |
| 6 | South | 1.97% | |
| 7 | Hong | 1.48% | |
| 8 | Russia | 1.48% | |
| 9 | Kong | 1.48% | |
| 10 | North | 1.48% | |
| 11 | US-China | 0.99% | |
| 12 | America | 0.99% | |
| 13 | Safety | 0.99% | |
| 14 | Plane | 0.99% | |
| 15 | Air | 0.99% | |
| 16 | Lee | 0.99% | |
| 17 | Harvard | 0.99% | |
| 18 | AI | 0.99% | |
| 19 | Indias | 0.99% | |
| 20 | Musk | 0.99% | |
| 21 | UK | 0.99% | |
| 22 | Ukraine’s | 0.99% | |
| 23 | US | 0.99% | |
| 24 | Jae-myung | 0.99% | |
| 25 | Taiwan | 0.99% | |
| 26 | Hot | 0.49% | |
| 27 | Raised | 0.49% | |
| 28 | Crash | 0.49% | |
| 29 | ‘Maybe | 0.49% | |
| 30 | Australia | 0.49% | |
| 31 | Sumba | 0.49% | |
| 32 | Ending’ | 0.49% | |
| 33 | Service | 0.49% | |
| 34 | Walls | 0.49% | |
| 35 | Lennon | 0.49% | |
| 36 | State | 0.49% | |
| 37 | Damaged | 0.49% | |
| 38 | Bougainville | 0.49% | |
| 39 | Boeing | 0.49% | |
| 40 | Indonesia’s | 0.49% | |
| 41 | Had | 0.49% | |
| 42 | Japan-South | 0.49% | |
| 43 | Asian | 0.49% | |
| 44 | Brings | 0.49% | |
| 45 | Pope | 0.49% | |
| 46 | Taiwan’s | 0.49% | |
| 47 | Chinas | 0.49% | |
| 48 | Korea’s | 0.49% | |
| 49 | Flight | 0.49% | |
| 50 | Are | 0.49% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|
|||