| 1 | Korea | 4.25% | |
| 2 | Seoul | 3.09% | |
| 3 | China | 3.09% | |
| 4 | S. | 2.32% | |
| 5 | Japan | 1.54% | |
| 6 | Hybe | 1.54% | |
| 7 | AI | 1.54% | |
| 8 | News] | 1.54% | |
| 9 | South | 1.54% | |
| 10 | Junta | 1.16% | |
| 11 | [Photo | 1.16% | |
| 12 | Ador | 1.16% | |
| 13 | EU | 0.77% | |
| 14 | Vietnam | 0.77% | |
| 15 | Russia | 0.77% | |
| 16 | Venice | 0.77% | |
| 17 | India | 0.77% | |
| 18 | May | 0.77% | |
| 19 | Hyundai | 0.77% | |
| 20 | North | 0.77% | |
| 21 | Hong | 0.77% | |
| 22 | [Today’s | 0.77% | |
| 23 | Koreans | 0.77% | |
| 24 | CEO | 0.77% | |
| 25 | TikTok | 0.77% | |
| 26 | Blinken | 0.77% | |
| 27 | K-pop] | 0.77% | |
| 28 | Paris | 0.77% | |
| 29 | Global | 0.77% | |
| 30 | US | 0.77% | |
| 31 | Campbell | 0.77% | |
| 32 | LG | 0.77% | |
| 33 | Yoon | 0.77% | |
| 34 | China’s | 0.77% | |
| 35 | Q1 | 0.77% | |
| 36 | NATO | 0.39% | |
| 37 | Mins | 0.39% | |
| 38 | So-hyun] | 0.39% | |
| 39 | [KH | 0.39% | |
| 40 | State | 0.39% | |
| 41 | Douyin. | 0.39% | |
| 42 | Motor | 0.39% | |
| 43 | Trees | 0.39% | |
| 44 | Video | 0.39% | |
| 45 | National | 0.39% | |
| 46 | Naver | 0.39% | |
| 47 | Legoland | 0.39% | |
| 48 | Peace | 0.39% | |
| 49 | Compass] | 0.39% | |
| 50 | River | 0.39% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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