| 1 | Trump | 6.94% | |
| 2 | Big | 4.17% | |
| 3 | Iran | 2.78% | |
| 4 | Politics | 2.78% | |
| 5 | Chalmers | 1.39% | |
| 6 | Fetterman | 1.39% | |
| 7 | Mcebisi | 1.39% | |
| 8 | Kelly | 1.39% | |
| 9 | Ethnic | 1.39% | |
| 10 | Cautionary | 1.39% | |
| 11 | FEMA | 1.39% | |
| 12 | Network | 1.39% | |
| 13 | Ndletyana | 1.39% | |
| 14 | White | 1.39% | |
| 15 | Expands | 1.39% | |
| 16 | Aimed | 1.39% | |
| 17 | I’m | 1.39% | |
| 18 | GNU | 1.39% | |
| 19 | Cabanac | 1.39% | |
| 20 | Energy | 1.39% | |
| 21 | Homeland | 1.39% | |
| 22 | BOSA | 1.39% | |
| 23 | ‘impatient’ | 1.39% | |
| 24 | Emily | 1.39% | |
| 25 | SADTU | 1.39% | |
| 26 | Michelle | 1.39% | |
| 27 | Fans | 1.39% | |
| 28 | Europe | 1.39% | |
| 29 | SAs | 1.39% | |
| 30 | Israel | 1.39% | |
| 31 | Security | 1.39% | |
| 32 | Middle | 1.39% | |
| 33 | Jashinsky | 1.39% | |
| 34 | Shivambus | 1.39% | |
| 35 | Netanyahu | 1.39% | |
| 36 | ‘After | 1.39% | |
| 37 | Jim | 1.39% | |
| 38 | Labor’s | 1.39% | |
| 39 | IEC | 1.39% | |
| 40 | DA’s | 1.39% | |
| 41 | Digital | 1.39% | |
| 42 | Hegseth | 1.39% | |
| 43 | House | 1.39% | |
| 44 | MKP | 1.39% | |
| 45 | Noem | 1.39% | |
| 46 | Comedy | 1.39% | |
| 47 | Megyn | 1.39% | |
| 48 | Party’ | 1.39% | |
| 49 | Democrats’ | 1.39% | |
| 50 | Virginia’s | 1.39% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|
|||