| 1 | Life | 5.13% | |
| 2 | Seoul | 5.13% | |
| 3 | Museum’s | 2.56% | |
| 4 | Se-hwa | 2.56% | |
| 5 | National | 2.56% | |
| 6 | Hollywoods | 2.56% | |
| 7 | Monks | 2.56% | |
| 8 | Im | 2.56% | |
| 9 | [Herald | 2.56% | |
| 10 | Cheonggyecheon | 2.56% | |
| 11 | Chan-wook | 2.56% | |
| 12 | Sympathizer | 2.56% | |
| 13 | Yunchan | 2.56% | |
| 14 | Earth’ | 2.56% | |
| 15 | Venice | 2.56% | |
| 16 | Bae | 2.56% | |
| 17 | Discover | 2.56% | |
| 18 | Driver | 2.56% | |
| 19 | Interview] | 2.56% | |
| 20 | Chopin | 2.56% | |
| 21 | ‘Goodbye | 2.56% | |
| 22 | Buddhas | 2.56% | |
| 23 | Doo-na | 2.56% | |
| 24 | Hong | 2.56% | |
| 25 | Lim | 2.56% | |
| 26 | Moon | 2.56% | |
| 27 | Scene] | 2.56% | |
| 28 | [Well-curated] | 2.56% | |
| 29 | Rebel | 2.56% | |
| 30 | Paris | 2.56% | |
| 31 | Hangeul | 2.56% | |
| 32 | Biennale | 2.56% | |
| 33 | Park | 2.56% | |
| 34 | Taxi | 2.56% | |
| 35 | Library | 2.56% | |
| 36 | Buddhists | 2.56% | |
| 37 | Outdoor | 2.56% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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