| 1 | Korea’s | 3.33% | |
| 2 | Russia | 3.33% | |
| 3 | Trump | 3.33% | |
| 4 | South | 3.33% | |
| 5 | Korea | 2.22% | |
| 6 | Lee | 2.22% | |
| 7 | India | 2.22% | |
| 8 | America | 2.22% | |
| 9 | North | 2.22% | |
| 10 | Will | 2.22% | |
| 11 | Tiananmen | 2.22% | |
| 12 | China | 2.22% | |
| 13 | Jae-myung | 2.22% | |
| 14 | Ukraine | 2.22% | |
| 15 | anti-China | 1.11% | |
| 16 | Friday | 1.11% | |
| 17 | Trees | 1.11% | |
| 18 | Taiwan’s | 1.11% | |
| 19 | New | 1.11% | |
| 20 | Trade | 1.11% | |
| 21 | Japan’s | 1.11% | |
| 22 | PM | 1.11% | |
| 23 | Indonesia | 1.11% | |
| 24 | Europe | 1.11% | |
| 25 | Dwindling | 1.11% | |
| 26 | Danantara | 1.11% | |
| 27 | Korea? | 1.11% | |
| 28 | Smuggling | 1.11% | |
| 29 | Middle | 1.11% | |
| 30 | Ancient | 1.11% | |
| 31 | Fungus | 1.11% | |
| 32 | Lebanon | 1.11% | |
| 33 | Wild | 1.11% | |
| 34 | Xi | 1.11% | |
| 35 | Ground | 1.11% | |
| 36 | Air | 1.11% | |
| 37 | Thailand | 1.11% | |
| 38 | Ispace | 1.11% | |
| 39 | Bengaluru | 1.11% | |
| 40 | Tibetans | 1.11% | |
| 41 | US-China | 1.11% | |
| 42 | Trumps | 1.11% | |
| 43 | VietJet | 1.11% | |
| 44 | TikTok | 1.11% | |
| 45 | Koreans | 1.11% | |
| 46 | Malaysia | 1.11% | |
| 47 | Square | 1.11% | |
| 48 | U.S. | 1.11% | |
| 49 | Election | 1.11% | |
| 50 | Teen | 1.11% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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