| 1 | Korea | 7.14% | |
| 2 | US | 7.14% | |
| 3 | N. | 5.36% | |
| 4 | China | 3.57% | |
| 5 | Coach | 1.79% | |
| 6 | Hong | 1.79% | |
| 7 | US’s | 1.79% | |
| 8 | Wins | 1.79% | |
| 9 | Punishment | 1.79% | |
| 10 | Russia | 1.79% | |
| 11 | [What | 1.79% | |
| 12 | Cheongdam-dong | 1.79% | |
| 13 | Refresh | 1.79% | |
| 14 | S. | 1.79% | |
| 15 | Fans | 1.79% | |
| 16 | Relations | 1.79% | |
| 17 | Tesla | 1.79% | |
| 18 | An | 1.79% | |
| 19 | Baceprot | 1.79% | |
| 20 | Panchen | 1.79% | |
| 21 | See] | 1.79% | |
| 22 | Girl | 1.79% | |
| 23 | Bubble | 1.79% | |
| 24 | Kong | 1.79% | |
| 25 | Gum | 1.79% | |
| 26 | Power | 1.79% | |
| 27 | [Weekender] | 1.79% | |
| 28 | Seoul | 1.79% | |
| 29 | Does | 1.79% | |
| 30 | [Music | 1.79% | |
| 31 | EV | 1.79% | |
| 32 | DDP | 1.79% | |
| 33 | drama] | 1.79% | |
| 34 | Blinken | 1.79% | |
| 35 | Roundup | 1.79% | |
| 36 | How | 1.79% | |
| 37 | Kinmen | 1.79% | |
| 38 | [EYE] | 1.79% | |
| 39 | Steel | 1.79% | |
| 40 | Lama | 1.79% | |
| 41 | Voice | 1.79% | |
| 42 | Chinese | 1.79% | |
| 43 | ‘Save | 1.79% | |
| 44 | Tibet’s | 1.79% | |
| 45 | Songs | 1.79% | |
| 46 | Taiwan | 1.79% | |
| 47 | Act | 1.79% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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