| 1 | Travel | 5.86% | |
| 2 | Africa | 2.34% | |
| 3 | New | 1.95% | |
| 4 | India | 1.95% | |
| 5 | South | 1.95% | |
| 6 | Industry | 1.17% | |
| 7 | China | 1.17% | |
| 8 | Trade | 0.78% | |
| 9 | IndiGo | 0.78% | |
| 10 | Hotel | 0.78% | |
| 11 | Tourism | 0.78% | |
| 12 | Canada | 0.78% | |
| 13 | Nine | 0.78% | |
| 14 | UK | 0.78% | |
| 15 | US | 0.78% | |
| 16 | Summer | 0.78% | |
| 17 | Percent | 0.78% | |
| 18 | AI-Powered | 0.39% | |
| 19 | Central | 0.39% | |
| 20 | Athens | 0.39% | |
| 21 | Waragi | 0.39% | |
| 22 | Regnum | 0.39% | |
| 23 | Rail | 0.39% | |
| 24 | Ryanair | 0.39% | |
| 25 | Africa’s | 0.39% | |
| 26 | ‘Best | 0.39% | |
| 27 | Leap | 0.39% | |
| 28 | NIA | 0.39% | |
| 29 | Climate | 0.39% | |
| 30 | Pearl | 0.39% | |
| 31 | Visitors | 0.39% | |
| 32 | Study | 0.39% | |
| 33 | Need | 0.39% | |
| 34 | Shinkansen | 0.39% | |
| 35 | Nyakang’o | 0.39% | |
| 36 | Singapore | 0.39% | |
| 37 | Mumbai | 0.39% | |
| 38 | Egypt | 0.39% | |
| 39 | Path | 0.39% | |
| 40 | Midlands | 0.39% | |
| 41 | Redefine | 0.39% | |
| 42 | Royal | 0.39% | |
| 43 | TTOS | 0.39% | |
| 44 | Woman | 0.39% | |
| 45 | Saudade | 0.39% | |
| 46 | Night | 0.39% | |
| 47 | Denmark | 0.39% | |
| 48 | Chinas | 0.39% | |
| 49 | Italy | 0.39% | |
| 50 | Flight | 0.39% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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