| 1 | Iran | 5.56% | |
| 2 | US | 5.56% | |
| 3 | Trump | 5.56% | |
| 4 | Shivambu | 3.7% | |
| 5 | MKP | 3.7% | |
| 6 | Floyd | 1.85% | |
| 7 | Dr | 1.85% | |
| 8 | Russia | 1.85% | |
| 9 | National | 1.85% | |
| 10 | Stripe’s | 1.85% | |
| 11 | Crashes | 1.85% | |
| 12 | Zim | 1.85% | |
| 13 | SAS | 1.85% | |
| 14 | Iran-Israel | 1.85% | |
| 15 | Israel | 1.85% | |
| 16 | Khehlelezi | 1.85% | |
| 17 | MP | 1.85% | |
| 18 | Japan. | 1.85% | |
| 19 | Private | 1.85% | |
| 20 | Marathon | 1.85% | |
| 21 | Kanyemba | 1.85% | |
| 22 | Health | 1.85% | |
| 23 | Netanyahu | 1.85% | |
| 24 | G7 | 1.85% | |
| 25 | India | 1.85% | |
| 26 | Air | 1.85% | |
| 27 | Chapfika | 1.85% | |
| 28 | Plane | 1.85% | |
| 29 | Ramaphosa | 1.85% | |
| 30 | TRUMP | 1.85% | |
| 31 | Sahara | 1.85% | |
| 32 | KYKED | 1.85% | |
| 33 | Morocco | 1.85% | |
| 34 | David | 1.85% | |
| 35 | EFF | 1.85% | |
| 36 | Western | 1.85% | |
| 37 | MIS | 1.85% | |
| 38 | Minister | 1.85% | |
| 39 | Tshwane | 1.85% | |
| 40 | Bushehr | 1.85% | |
| 41 | CYRIL | 1.85% | |
| 42 | Mpumalanga | 1.85% | |
| 43 | Iran’s | 1.85% | |
| 44 | ILO | 1.85% | |
| 45 | Assembly | 1.85% | |
| 46 | Strike | 1.85% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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