| 1 | Travel | 6.06% | |
| 2 | Korea | 3.03% | |
| 3 | Factors | 3.03% | |
| 4 | Iranians | 3.03% | |
| 5 | Japan | 3.03% | |
| 6 | Eleven | 3.03% | |
| 7 | High | 3.03% | |
| 8 | Fuel | 3.03% | |
| 9 | Iran | 3.03% | |
| 10 | Waterville | 3.03% | |
| 11 | Ban | 3.03% | |
| 12 | Hits | 3.03% | |
| 13 | Nationality | 3.03% | |
| 14 | Growth | 3.03% | |
| 15 | Targeting | 3.03% | |
| 16 | Column | 3.03% | |
| 17 | Surge | 3.03% | |
| 18 | Slams | 3.03% | |
| 19 | Budget | 3.03% | |
| 20 | Air | 3.03% | |
| 21 | Between | 3.03% | |
| 22 | Airlines | 3.03% | |
| 23 | Religion | 3.03% | |
| 24 | Over | 3.03% | |
| 25 | Record | 3.03% | |
| 26 | US | 3.03% | |
| 27 | Economic | 3.03% | |
| 28 | Million | 3.03% | |
| 29 | Discrimination | 3.03% | |
| 30 | Passengers | 3.03% | |
| 31 | Hostile | 3.03% | |
| 32 | Act | 3.03% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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