| 1 | Culture | 5.26% | |
| 2 | Discuss | 1.75% | |
| 3 | Luka | 1.75% | |
| 4 | EMBO | 1.75% | |
| 5 | Burlington | 1.75% | |
| 6 | King | 1.75% | |
| 7 | Day | 1.75% | |
| 8 | Africa’s | 1.75% | |
| 9 | Navy | 1.75% | |
| 10 | Village | 1.75% | |
| 11 | Doncic | 1.75% | |
| 12 | Workplace | 1.75% | |
| 13 | USNS | 1.75% | |
| 14 | Tamil | 1.75% | |
| 15 | Royal | 1.75% | |
| 16 | Hustle | 1.75% | |
| 17 | Nadu | 1.75% | |
| 18 | National | 1.75% | |
| 19 | Madikizela-Mandela | 1.75% | |
| 20 | Sellafield | 1.75% | |
| 21 | Gordion | 1.75% | |
| 22 | Family | 1.75% | |
| 23 | Life | 1.75% | |
| 24 | M’nong | 1.75% | |
| 25 | Midas’ | 1.75% | |
| 26 | TELUS | 1.75% | |
| 27 | DakshinaChitra’s | 1.75% | |
| 28 | Embedding | 1.75% | |
| 29 | MPs | 1.75% | |
| 30 | Verve | 1.75% | |
| 31 | NSW | 1.75% | |
| 32 | Partnership | 1.75% | |
| 33 | Myths | 1.75% | |
| 34 | Force | 1.75% | |
| 35 | Milk | 1.75% | |
| 36 | India | 1.75% | |
| 37 | Evaluate | 1.75% | |
| 38 | Harvey | 1.75% | |
| 39 | North | 1.75% | |
| 40 | Goodbye | 1.75% | |
| 41 | Digital | 1.75% | |
| 42 | Indians. | 1.75% | |
| 43 | Africa | 1.75% | |
| 44 | Winnie | 1.75% | |
| 45 | Bitemark | 1.75% | |
| 46 | Wurundjeri | 1.75% | |
| 47 | Water | 1.75% | |
| 48 | Pentagons | 1.75% | |
| 49 | Minister | 1.75% | |
| 50 | UK’s | 1.75% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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