| 1 | Economy | 8% | |
| 2 | First | 4% | |
| 3 | Cools | 2% | |
| 4 | Edanomic | 2% | |
| 5 | Double | 2% | |
| 6 | Future | 2% | |
| 7 | Inditex | 2% | |
| 8 | Bank | 2% | |
| 9 | Harm | 2% | |
| 10 | Singapore | 2% | |
| 11 | Bribery | 2% | |
| 12 | Global | 2% | |
| 13 | Decker | 2% | |
| 14 | ANZ | 2% | |
| 15 | Smotrich | 2% | |
| 16 | Rise | 2% | |
| 17 | Airplane | 2% | |
| 18 | Kai | 2% | |
| 19 | Edan | 2% | |
| 20 | NSW | 2% | |
| 21 | Passenger | 2% | |
| 22 | Full | 2% | |
| 23 | Game | 2% | |
| 24 | Opportunity | 2% | |
| 25 | Sales | 2% | |
| 26 | AI | 2% | |
| 27 | Airlines | 2% | |
| 28 | Development | 2% | |
| 29 | Wealth | 2% | |
| 30 | World | 2% | |
| 31 | Timor-Leste’s | 2% | |
| 32 | Into | 2% | |
| 33 | $131B | 2% | |
| 34 | Seat | 2% | |
| 35 | Class? | 2% | |
| 36 | Hong | 2% | |
| 37 | Zombie | 2% | |
| 38 | Zara-Owner | 2% | |
| 39 | Face | 2% | |
| 40 | Tak | 2% | |
| 41 | Kong’s | 2% | |
| 42 | Stadium | 2% | |
| 43 | Class | 2% | |
| 44 | Nations | 2% | |
| 45 | Upgraded | 2% | |
| 46 | Economic | 2% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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