| 1 | Russia | 3.23% | |
| 2 | Korea’s | 3.23% | |
| 3 | Lee | 3.23% | |
| 4 | Will | 3.23% | |
| 5 | China | 3.23% | |
| 6 | Jae-myung | 3.23% | |
| 7 | Ukraine | 3.23% | |
| 8 | Lander | 1.61% | |
| 9 | June | 1.61% | |
| 10 | America | 1.61% | |
| 11 | anti-China | 1.61% | |
| 12 | Trees | 1.61% | |
| 13 | New | 1.61% | |
| 14 | Japan’s | 1.61% | |
| 15 | PM | 1.61% | |
| 16 | Indonesia | 1.61% | |
| 17 | Europe | 1.61% | |
| 18 | Dwindling | 1.61% | |
| 19 | Danantara | 1.61% | |
| 20 | Korea? | 1.61% | |
| 21 | Smuggling | 1.61% | |
| 22 | Middle | 1.61% | |
| 23 | Ancient | 1.61% | |
| 24 | Fungus | 1.61% | |
| 25 | Wild | 1.61% | |
| 26 | Ground | 1.61% | |
| 27 | Air | 1.61% | |
| 28 | Thailand | 1.61% | |
| 29 | Ispace | 1.61% | |
| 30 | Bengaluru | 1.61% | |
| 31 | Tibetans | 1.61% | |
| 32 | North | 1.61% | |
| 33 | Korea | 1.61% | |
| 34 | VietJet | 1.61% | |
| 35 | TikTok | 1.61% | |
| 36 | Malaysia | 1.61% | |
| 37 | U.S. | 1.61% | |
| 38 | Tiananmen | 1.61% | |
| 39 | Zealand | 1.61% | |
| 40 | Moon | 1.61% | |
| 41 | US-China | 1.61% | |
| 42 | Thrive | 1.61% | |
| 43 | Teen | 1.61% | |
| 44 | Ukraine’s | 1.61% | |
| 45 | Heads | 1.61% | |
| 46 | How | 1.61% | |
| 47 | Trump | 1.61% | |
| 48 | Did | 1.61% | |
| 49 | Resilience | 1.61% | |
| 50 | South | 1.61% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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