| 1 | Trump | 5.71% | |
| 2 | Albanese | 2.86% | |
| 3 | Reform | 1.9% | |
| 4 | PM | 1.9% | |
| 5 | UK | 1.9% | |
| 6 | Anthony | 1.9% | |
| 7 | Senator | 0.95% | |
| 8 | Marines | 0.95% | |
| 9 | France | 0.95% | |
| 10 | Starmer | 0.95% | |
| 11 | Australia | 0.95% | |
| 12 | Generation | 0.95% | |
| 13 | Booker | 0.95% | |
| 14 | sanctions; | 0.95% | |
| 15 | Lambie | 0.95% | |
| 16 | D-day | 0.95% | |
| 17 | Cup | 0.95% | |
| 18 | Curtis | 0.95% | |
| 19 | OByrne | 0.95% | |
| 20 | Korea’s | 0.95% | |
| 21 | Miriam | 0.95% | |
| 22 | Safe | 0.95% | |
| 23 | MPs | 0.95% | |
| 24 | Michelle | 0.95% | |
| 25 | Rachel | 0.95% | |
| 26 | Crace | 0.95% | |
| 27 | Labour’s | 0.95% | |
| 28 | Israel | 0.95% | |
| 29 | Jacqui | 0.95% | |
| 30 | Former | 0.95% | |
| 31 | MP | 0.95% | |
| 32 | EU | 0.95% | |
| 33 | Farage | 0.95% | |
| 34 | Tice | 0.95% | |
| 35 | Productivity | 0.95% | |
| 36 | Zia | 0.95% | |
| 37 | Jenner | 0.95% | |
| 38 | Rio | 0.95% | |
| 39 | Margolyes | 0.95% | |
| 40 | Justice | 0.95% | |
| 41 | Marles | 0.95% | |
| 42 | Albo | 0.95% | |
| 43 | ‘Black | 0.95% | |
| 44 | US’ | 0.95% | |
| 45 | India | 0.95% | |
| 46 | AFL | 0.95% | |
| 47 | ‘Hoped | 0.95% | |
| 48 | McDonald | 0.95% | |
| 49 | Reevess | 0.95% | |
| 50 | ‘Enemy | 0.95% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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