| 1 | Korea | 4.35% | |
| 2 | China | 4.35% | |
| 3 | Seoul | 3.26% | |
| 4 | South | 3.26% | |
| 5 | Global | 2.17% | |
| 6 | Russia | 2.17% | |
| 7 | Venice | 2.17% | |
| 8 | May | 2.17% | |
| 9 | News] | 2.17% | |
| 10 | Paris | 2.17% | |
| 11 | China’s | 2.17% | |
| 12 | Australia | 1.09% | |
| 13 | Asiana | 1.09% | |
| 14 | Samsung | 1.09% | |
| 15 | NATO | 1.09% | |
| 16 | So-hyun] | 1.09% | |
| 17 | State | 1.09% | |
| 18 | Trees | 1.09% | |
| 19 | [Photo | 1.09% | |
| 20 | Video | 1.09% | |
| 21 | Legoland | 1.09% | |
| 22 | Compass] | 1.09% | |
| 23 | [Career | 1.09% | |
| 24 | New | 1.09% | |
| 25 | ELS | 1.09% | |
| 26 | DP | 1.09% | |
| 27 | S. | 1.09% | |
| 28 | PNG | 1.09% | |
| 29 | Indonesia | 1.09% | |
| 30 | Hampyeong | 1.09% | |
| 31 | AUKUS | 1.09% | |
| 32 | K-pop] | 1.09% | |
| 33 | Europe | 1.09% | |
| 34 | BTS’ | 1.09% | |
| 35 | EU | 1.09% | |
| 36 | [Kim | 1.09% | |
| 37 | Southeast | 1.09% | |
| 38 | Second | 1.09% | |
| 39 | Dept. | 1.09% | |
| 40 | Junta | 1.09% | |
| 41 | Canada | 1.09% | |
| 42 | Hybes | 1.09% | |
| 43 | Jeju | 1.09% | |
| 44 | Air | 1.09% | |
| 45 | Butterfly | 1.09% | |
| 46 | Hong | 1.09% | |
| 47 | Pavilions | 1.09% | |
| 48 | Posco | 1.09% | |
| 49 | Rohingya | 1.09% | |
| 50 | RM | 1.09% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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