| 1 | Trump | 5.62% | |
| 2 | Iran | 4.49% | |
| 3 | Big | 3.37% | |
| 4 | Political | 2.25% | |
| 5 | MKP | 2.25% | |
| 6 | Media | 2.25% | |
| 7 | Politics | 2.25% | |
| 8 | Starmer | 1.12% | |
| 9 | War | 1.12% | |
| 10 | Mcebisi | 1.12% | |
| 11 | Shaped | 1.12% | |
| 12 | Kelly | 1.12% | |
| 13 | Ethnic | 1.12% | |
| 14 | Cautionary | 1.12% | |
| 15 | Tusk | 1.12% | |
| 16 | Network | 1.12% | |
| 17 | Ndletyana | 1.12% | |
| 18 | Expands | 1.12% | |
| 19 | Aimed | 1.12% | |
| 20 | I’m | 1.12% | |
| 21 | Embassy | 1.12% | |
| 22 | Cabanac | 1.12% | |
| 23 | Senate | 1.12% | |
| 24 | Emily | 1.12% | |
| 25 | SADTU | 1.12% | |
| 26 | Fans | 1.12% | |
| 27 | Europe | 1.12% | |
| 28 | Allegiance | 1.12% | |
| 29 | Israel | 1.12% | |
| 30 | EU | 1.12% | |
| 31 | Jeanine | 1.12% | |
| 32 | Identity | 1.12% | |
| 33 | Middle | 1.12% | |
| 34 | Defection | 1.12% | |
| 35 | Jashinsky | 1.12% | |
| 36 | Shivambus | 1.12% | |
| 37 | Netanyahu | 1.12% | |
| 38 | ‘After | 1.12% | |
| 39 | IEC | 1.12% | |
| 40 | DA’s | 1.12% | |
| 41 | Digital | 1.12% | |
| 42 | Hegseth | 1.12% | |
| 43 | Party’ | 1.12% | |
| 44 | Parliament’s | 1.12% | |
| 45 | Comedy | 1.12% | |
| 46 | Megyn | 1.12% | |
| 47 | NYCs | 1.12% | |
| 48 | U.S. | 1.12% | |
| 49 | Democrats’ | 1.12% | |
| 50 | Virginia’s | 1.12% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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