| 1 | Life | 3.33% | |
| 2 | Seoul | 3.33% | |
| 3 | [Herald | 3.33% | |
| 4 | Venice | 3.33% | |
| 5 | [New | 3.33% | |
| 6 | Interview] | 3.33% | |
| 7 | Biennale | 3.33% | |
| 8 | Korean] | 3.33% | |
| 9 | Booker-shortlisted | 1.67% | |
| 10 | Museum’s | 1.67% | |
| 11 | Se-hwa | 1.67% | |
| 12 | National | 1.67% | |
| 13 | Gyechon | 1.67% | |
| 14 | Seo-sus | 1.67% | |
| 15 | Hollywoods | 1.67% | |
| 16 | Monks | 1.67% | |
| 17 | Im | 1.67% | |
| 18 | Cheonggyecheon | 1.67% | |
| 19 | Chan-wook | 1.67% | |
| 20 | Sympathizer | 1.67% | |
| 21 | Lee | 1.67% | |
| 22 | Yunchan | 1.67% | |
| 23 | Earth’ | 1.67% | |
| 24 | International | 1.67% | |
| 25 | Bae | 1.67% | |
| 26 | Discover | 1.67% | |
| 27 | Cheongju | 1.67% | |
| 28 | Hong | 1.67% | |
| 29 | Chopin | 1.67% | |
| 30 | ‘Goodbye | 1.67% | |
| 31 | Buddhas | 1.67% | |
| 32 | Doo-na | 1.67% | |
| 33 | Driver | 1.67% | |
| 34 | Gyeongseong | 1.67% | |
| 35 | Tour] | 1.67% | |
| 36 | Lim | 1.67% | |
| 37 | Hwang | 1.67% | |
| 38 | Moon | 1.67% | |
| 39 | Scene] | 1.67% | |
| 40 | LGBTQ | 1.67% | |
| 41 | [Well-curated] | 1.67% | |
| 42 | Rebel | 1.67% | |
| 43 | [Drama | 1.67% | |
| 44 | Paris | 1.67% | |
| 45 | Hangeul | 1.67% | |
| 46 | Kakadu | 1.67% | |
| 47 | Park | 1.67% | |
| 48 | Taxi | 1.67% | |
| 49 | Library | 1.67% | |
| 50 | Sok-yong | 1.67% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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