| 1 | Travel | 9.09% | |
| 2 | Tanzania | 2.6% | |
| 3 | New | 2.6% | |
| 4 | US | 2.6% | |
| 5 | Women’s | 1.3% | |
| 6 | Czech | 1.3% | |
| 7 | Loss | 1.3% | |
| 8 | Chevalier | 1.3% | |
| 9 | Youre | 1.3% | |
| 10 | Global | 1.3% | |
| 11 | Names | 1.3% | |
| 12 | Times | 1.3% | |
| 13 | Frederic | 1.3% | |
| 14 | Malema | 1.3% | |
| 15 | Azerbaijan | 1.3% | |
| 16 | Item | 1.3% | |
| 17 | Planner | 1.3% | |
| 18 | Lagardere | 1.3% | |
| 19 | WeMoney | 1.3% | |
| 20 | Europe | 1.3% | |
| 21 | Stolen | 1.3% | |
| 22 | City | 1.3% | |
| 23 | Corporate | 1.3% | |
| 24 | Soaring | 1.3% | |
| 25 | Visibility | 1.3% | |
| 26 | Southeast | 1.3% | |
| 27 | Retail | 1.3% | |
| 28 | Awards | 1.3% | |
| 29 | Guide | 1.3% | |
| 30 | CEO | 1.3% | |
| 31 | Active | 1.3% | |
| 32 | Australia’s | 1.3% | |
| 33 | Axios | 1.3% | |
| 34 | Probably | 1.3% | |
| 35 | Financial | 1.3% | |
| 36 | India | 1.3% | |
| 37 | Air | 1.3% | |
| 38 | Say | 1.3% | |
| 39 | Event | 1.3% | |
| 40 | Sleeping | 1.3% | |
| 41 | TUI’s | 1.3% | |
| 42 | Asias | 1.3% | |
| 43 | North | 1.3% | |
| 44 | Digital | 1.3% | |
| 45 | Airports | 1.3% | |
| 46 | Spark | 1.3% | |
| 47 | Kazakhstan | 1.3% | |
| 48 | Today’s | 1.3% | |
| 49 | Show | 1.3% | |
| 50 | U.S. | 1.3% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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