| 1 | PM | 5.26% | |
| 2 | US | 3.95% | |
| 3 | Cox | 3.95% | |
| 4 | Greens | 2.63% | |
| 5 | Labor | 2.63% | |
| 6 | Trump | 2.63% | |
| 7 | Rome | 1.32% | |
| 8 | Tanenhaus | 1.32% | |
| 9 | Macron | 1.32% | |
| 10 | Brief | 1.32% | |
| 11 | June | 1.32% | |
| 12 | Foreign | 1.32% | |
| 13 | Poland’s | 1.32% | |
| 14 | Minimum | 1.32% | |
| 15 | Warns | 1.32% | |
| 16 | Dutch | 1.32% | |
| 17 | Senate | 1.32% | |
| 18 | Dialogue | 1.32% | |
| 19 | un-Solidarity | 1.32% | |
| 20 | National | 1.32% | |
| 21 | FM | 1.32% | |
| 22 | Run | 1.32% | |
| 23 | Bitcoin | 1.32% | |
| 24 | Corp | 1.32% | |
| 25 | Europe | 1.32% | |
| 26 | Review | 1.32% | |
| 27 | Remain | 1.32% | |
| 28 | Slams | 1.32% | |
| 29 | Boulder | 1.32% | |
| 30 | Wary | 1.32% | |
| 31 | Budget | 1.32% | |
| 32 | Officials | 1.32% | |
| 33 | ‘Buckley’ | 1.32% | |
| 34 | NGOs | 1.32% | |
| 35 | Willing’ | 1.32% | |
| 36 | Dorinda | 1.32% | |
| 37 | Election | 1.32% | |
| 38 | GDP | 1.32% | |
| 39 | Prabowo | 1.32% | |
| 40 | Corrupt | 1.32% | |
| 41 | Sesame | 1.32% | |
| 42 | Sam | 1.32% | |
| 43 | Indonesian | 1.32% | |
| 44 | China | 1.32% | |
| 45 | UK | 1.32% | |
| 46 | Italy’s | 1.32% | |
| 47 | Linda | 1.32% | |
| 48 | Book | 1.32% | |
| 49 | Nato | 1.32% | |
| 50 | Polish | 1.32% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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