| 1 | S. | 4.48% | |
| 2 | Korea | 2.99% | |
| 3 | [New | 2.99% | |
| 4 | India | 2.99% | |
| 5 | Korean] | 2.99% | |
| 6 | Yoon | 2.99% | |
| 7 | Mexico | 1.49% | |
| 8 | Beyond | 1.49% | |
| 9 | Rushdie’s | 1.49% | |
| 10 | Vision | 1.49% | |
| 11 | Australia | 1.49% | |
| 12 | Foreign | 1.49% | |
| 13 | [What | 1.49% | |
| 14 | Modi | 1.49% | |
| 15 | Modis’ | 1.49% | |
| 16 | Argentina | 1.49% | |
| 17 | Thai | 1.49% | |
| 18 | Iran | 1.49% | |
| 19 | Seo-sus | 1.49% | |
| 20 | Rahul | 1.49% | |
| 21 | Ministry | 1.49% | |
| 22 | ‘New | 1.49% | |
| 23 | Beijing | 1.49% | |
| 24 | Top | 1.49% | |
| 25 | Lee | 1.49% | |
| 26 | Goes | 1.49% | |
| 27 | Sagaing | 1.49% | |
| 28 | Middle | 1.49% | |
| 29 | Cheongju | 1.49% | |
| 30 | Lama’s | 1.49% | |
| 31 | Venice | 1.49% | |
| 32 | Jinping | 1.49% | |
| 33 | Stream] | 1.49% | |
| 34 | Xi | 1.49% | |
| 35 | LGBTQ | 1.49% | |
| 36 | Tibetans | 1.49% | |
| 37 | Axis’ | 1.49% | |
| 38 | Salman | 1.49% | |
| 39 | [Weekender] | 1.49% | |
| 40 | Seoul | 1.49% | |
| 41 | Myanmar | 1.49% | |
| 42 | Gyeongseong | 1.49% | |
| 43 | Tour] | 1.49% | |
| 44 | ‘A | 1.49% | |
| 45 | Kakadu | 1.49% | |
| 46 | [Drama | 1.49% | |
| 47 | N.K. | 1.49% | |
| 48 | Biennale | 1.49% | |
| 49 | Gandhi’s | 1.49% | |
| 50 | [EYE] | 1.49% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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