| 1 | Labor | 4.26% | |
| 2 | PM | 4.26% | |
| 3 | US | 4.26% | |
| 4 | Cox | 4.26% | |
| 5 | Ascent | 2.13% | |
| 6 | Rome | 2.13% | |
| 7 | Tanenhaus | 2.13% | |
| 8 | Suspect | 2.13% | |
| 9 | Macron | 2.13% | |
| 10 | Foreign | 2.13% | |
| 11 | Minimum | 2.13% | |
| 12 | Greens | 2.13% | |
| 13 | Warns | 2.13% | |
| 14 | Dutch | 2.13% | |
| 15 | Dialogue | 2.13% | |
| 16 | National | 2.13% | |
| 17 | FM | 2.13% | |
| 18 | Review | 2.13% | |
| 19 | Colorado | 2.13% | |
| 20 | Slams | 2.13% | |
| 21 | Boulder | 2.13% | |
| 22 | Europe | 2.13% | |
| 23 | Officials | 2.13% | |
| 24 | ‘Buckley’ | 2.13% | |
| 25 | NGOs | 2.13% | |
| 26 | Willing’ | 2.13% | |
| 27 | Budget | 2.13% | |
| 28 | Prabowo | 2.13% | |
| 29 | Corrupt | 2.13% | |
| 30 | Sam | 2.13% | |
| 31 | Indonesian | 2.13% | |
| 32 | China | 2.13% | |
| 33 | Italy’s | 2.13% | |
| 34 | Book | 2.13% | |
| 35 | Bucharest | 2.13% | |
| 36 | Know | 2.13% | |
| 37 | Dorinda | 2.13% | |
| 38 | Chinese | 2.13% | |
| 39 | Labour | 2.13% | |
| 40 | Senator | 2.13% | |
| 41 | Shangri-La | 2.13% | |
| 42 | Bloc | 2.13% | |
| 43 | ‘Coalition | 2.13% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|
|||