| 1 | PM | 4.69% | |
| 2 | Cox | 4.69% | |
| 3 | Greens | 3.13% | |
| 4 | Boulder | 3.13% | |
| 5 | Labor | 3.13% | |
| 6 | US | 3.13% | |
| 7 | Ashes | 1.56% | |
| 8 | Rome | 1.56% | |
| 9 | Tanenhaus | 1.56% | |
| 10 | Suspect | 1.56% | |
| 11 | Macron | 1.56% | |
| 12 | Brief | 1.56% | |
| 13 | Foreign | 1.56% | |
| 14 | Poland’s | 1.56% | |
| 15 | Minimum | 1.56% | |
| 16 | Warns | 1.56% | |
| 17 | Dutch | 1.56% | |
| 18 | Dialogue | 1.56% | |
| 19 | un-Solidarity | 1.56% | |
| 20 | National | 1.56% | |
| 21 | FM | 1.56% | |
| 22 | Run | 1.56% | |
| 23 | Corp | 1.56% | |
| 24 | Europe | 1.56% | |
| 25 | Waters | 1.56% | |
| 26 | Review | 1.56% | |
| 27 | Colorado | 1.56% | |
| 28 | Slams | 1.56% | |
| 29 | Budget | 1.56% | |
| 30 | Officials | 1.56% | |
| 31 | ‘Buckley’ | 1.56% | |
| 32 | NGOs | 1.56% | |
| 33 | Willing’ | 1.56% | |
| 34 | Dorinda | 1.56% | |
| 35 | Election | 1.56% | |
| 36 | Prabowo | 1.56% | |
| 37 | Corrupt | 1.56% | |
| 38 | Sesame | 1.56% | |
| 39 | Sam | 1.56% | |
| 40 | Indonesian | 1.56% | |
| 41 | China | 1.56% | |
| 42 | Italy’s | 1.56% | |
| 43 | Book | 1.56% | |
| 44 | Bucharest | 1.56% | |
| 45 | Know | 1.56% | |
| 46 | Senator | 1.56% | |
| 47 | Chinese | 1.56% | |
| 48 | Labour | 1.56% | |
| 49 | Larissa | 1.56% | |
| 50 | News | 1.56% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|
|||