| 1 | Ukraine | 3.96% | |
| 2 | South | 3.96% | |
| 3 | Korea | 2.97% | |
| 4 | Russia | 2.97% | |
| 5 | Tiananmen | 2.97% | |
| 6 | US-China | 1.98% | |
| 7 | Korea’s | 1.98% | |
| 8 | New | 1.98% | |
| 9 | Lee | 1.98% | |
| 10 | America | 1.98% | |
| 11 | Will | 1.98% | |
| 12 | China | 1.98% | |
| 13 | Jae-myung | 1.98% | |
| 14 | Trump’s | 1.98% | |
| 15 | June | 0.99% | |
| 16 | Votes | 0.99% | |
| 17 | anti-China | 0.99% | |
| 18 | Trees | 0.99% | |
| 19 | Taiwan’s | 0.99% | |
| 20 | Begin | 0.99% | |
| 21 | PM | 0.99% | |
| 22 | Indonesia | 0.99% | |
| 23 | Europe | 0.99% | |
| 24 | Interview | 0.99% | |
| 25 | Dwindling | 0.99% | |
| 26 | Danantara | 0.99% | |
| 27 | Korea? | 0.99% | |
| 28 | Smuggling | 0.99% | |
| 29 | Shigeo | 0.99% | |
| 30 | Middle | 0.99% | |
| 31 | Ancient | 0.99% | |
| 32 | Fungus | 0.99% | |
| 33 | Lebanon | 0.99% | |
| 34 | Icon | 0.99% | |
| 35 | Wild | 0.99% | |
| 36 | Ground | 0.99% | |
| 37 | India | 0.99% | |
| 38 | Mother | 0.99% | |
| 39 | Air | 0.99% | |
| 40 | Thailand | 0.99% | |
| 41 | Bengaluru | 0.99% | |
| 42 | Tibetans | 0.99% | |
| 43 | North | 0.99% | |
| 44 | Frohnmaier | 0.99% | |
| 45 | Tuesday | 0.99% | |
| 46 | VietJet | 0.99% | |
| 47 | TikTok | 0.99% | |
| 48 | Voting | 0.99% | |
| 49 | Koreans | 0.99% | |
| 50 | Malaysia | 0.99% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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