| 1 | Culture | 4.95% | |
| 2 | Life | 2.97% | |
| 3 | Sciences | 1.98% | |
| 4 | Skywalker | 0.99% | |
| 5 | Croatia | 0.99% | |
| 6 | Changed | 0.99% | |
| 7 | Office | 0.99% | |
| 8 | Their | 0.99% | |
| 9 | Gen | 0.99% | |
| 10 | Chuck’ | 0.99% | |
| 11 | Luke | 0.99% | |
| 12 | Kazakh | 0.99% | |
| 13 | Bang | 0.99% | |
| 14 | Caris | 0.99% | |
| 15 | Resin | 0.99% | |
| 16 | Purification | 0.99% | |
| 17 | Ecolab | 0.99% | |
| 18 | Gabriel | 0.99% | |
| 19 | Broadway | 0.99% | |
| 20 | Drive | 0.99% | |
| 21 | Airport’s | 0.99% | |
| 22 | Tokyo’s | 0.99% | |
| 23 | Gaerea | 0.99% | |
| 24 | Specialty | 0.99% | |
| 25 | IPO | 0.99% | |
| 26 | New | 0.99% | |
| 27 | Kazakhstan-China | 0.99% | |
| 28 | Runway | 0.99% | |
| 29 | Reflect | 0.99% | |
| 30 | Restaurant | 0.99% | |
| 31 | Vietnamese | 0.99% | |
| 32 | Tourists | 0.99% | |
| 33 | Vegas | 0.99% | |
| 34 | Lifestyle? | 0.99% | |
| 35 | Starbucks | 0.99% | |
| 36 | Hamill | 0.99% | |
| 37 | Eat | 0.99% | |
| 38 | Interview | 0.99% | |
| 39 | Mott | 0.99% | |
| 40 | Demand | 0.99% | |
| 41 | Manufacturing | 0.99% | |
| 42 | Mark | 0.99% | |
| 43 | Genesee | 0.99% | |
| 44 | Productivity | 0.99% | |
| 45 | Visiting | 0.99% | |
| 46 | Munich | 0.99% | |
| 47 | Pho | 0.99% | |
| 48 | Marks | 0.99% | |
| 49 | Helsinki? | 0.99% | |
| 50 | Green | 0.99% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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