| 1 | [Herald | 6.93% | |
| 2 | Interview] | 5.94% | |
| 3 | Seoul | 4.95% | |
| 4 | Lee | 1.98% | |
| 5 | Korea | 1.98% | |
| 6 | Life | 1.98% | |
| 7 | Hangeul | 1.98% | |
| 8 | Bolshoi | 1.98% | |
| 9 | Max’ | 0.99% | |
| 10 | Master | 0.99% | |
| 11 | Sok-yong | 0.99% | |
| 12 | Booker-shortlisted | 0.99% | |
| 13 | [New | 0.99% | |
| 14 | King | 0.99% | |
| 15 | Museum’s | 0.99% | |
| 16 | Pearl | 0.99% | |
| 17 | Centuries-old | 0.99% | |
| 18 | Se-hwa | 0.99% | |
| 19 | National | 0.99% | |
| 20 | Gyechon | 0.99% | |
| 21 | Seo-sus | 0.99% | |
| 22 | George | 0.99% | |
| 23 | Choi | 0.99% | |
| 24 | Fu | 0.99% | |
| 25 | Ballet | 0.99% | |
| 26 | Hollywoods | 0.99% | |
| 27 | Monks | 0.99% | |
| 28 | Im | 0.99% | |
| 29 | Cheonggyecheon | 0.99% | |
| 30 | Chan-wook | 0.99% | |
| 31 | Sympathizer | 0.99% | |
| 32 | Byung-hoons | 0.99% | |
| 33 | Yunchan | 0.99% | |
| 34 | Earth’ | 0.99% | |
| 35 | Venice | 0.99% | |
| 36 | ‘Following’ | 0.99% | |
| 37 | International | 0.99% | |
| 38 | Bae | 0.99% | |
| 39 | Mother | 0.99% | |
| 40 | Discover | 0.99% | |
| 41 | Driver | 0.99% | |
| 42 | Hong | 0.99% | |
| 43 | Chopin | 0.99% | |
| 44 | ‘Goodbye | 0.99% | |
| 45 | Buddhas | 0.99% | |
| 46 | van | 0.99% | |
| 47 | Doo-na | 0.99% | |
| 48 | drama] | 0.99% | |
| 49 | Ben | 0.99% | |
| 50 | [Music | 0.99% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|
|||