| 1 | Korea | 5.42% | |
| 2 | Seoul | 3.01% | |
| 3 | US | 3.01% | |
| 4 | North | 2.41% | |
| 5 | China | 2.41% | |
| 6 | S. | 1.81% | |
| 7 | News] | 1.81% | |
| 8 | Taiwan | 1.81% | |
| 9 | Samsung | 1.2% | |
| 10 | [Photo | 1.2% | |
| 11 | Rakhine | 1.2% | |
| 12 | Hybe | 1.2% | |
| 13 | Cho | 1.2% | |
| 14 | Myanmar | 1.2% | |
| 15 | Philippines | 1.2% | |
| 16 | South | 1.2% | |
| 17 | Myanmar’s | 1.2% | |
| 18 | Yoo | 1.2% | |
| 19 | Hit | 1.2% | |
| 20 | Beyond | 0.6% | |
| 21 | Director | 0.6% | |
| 22 | Mayor | 0.6% | |
| 23 | [New | 0.6% | |
| 24 | Eunpyeong-gu | 0.6% | |
| 25 | America | 0.6% | |
| 26 | Japan | 0.6% | |
| 27 | Threads | 0.6% | |
| 28 | Injured | 0.6% | |
| 29 | Georgia | 0.6% | |
| 30 | Slide | 0.6% | |
| 31 | Thai | 0.6% | |
| 32 | FM | 0.6% | |
| 33 | Temblor | 0.6% | |
| 34 | New | 0.6% | |
| 35 | Golden | 0.6% | |
| 36 | Kao] | 0.6% | |
| 37 | N. | 0.6% | |
| 38 | Diplomacy | 0.6% | |
| 39 | Rebuilding | 0.6% | |
| 40 | Yasukuni | 0.6% | |
| 41 | Ship | 0.6% | |
| 42 | Ministry | 0.6% | |
| 43 | Street’ | 0.6% | |
| 44 | sublabel | 0.6% | |
| 45 | [Exclusive] | 0.6% | |
| 46 | Negligent | 0.6% | |
| 47 | ‘Theres | 0.6% | |
| 48 | Find | 0.6% | |
| 49 | Tasty | 0.6% | |
| 50 | Rohingyas | 0.6% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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