| 1 | House | 1.8% | |
| 2 | PM | 1.8% | |
| 3 | ANC | 1.8% | |
| 4 | Politics | 1.8% | |
| 5 | Rishi | 1.2% | |
| 6 | Correspondents | 1.2% | |
| 7 | Party | 1.2% | |
| 8 | City | 1.2% | |
| 9 | Vadra | 1.2% | |
| 10 | Dinner | 1.2% | |
| 11 | Modi | 1.2% | |
| 12 | Haryana | 1.2% | |
| 13 | White | 1.2% | |
| 14 | Banerjee | 1.2% | |
| 15 | Eskom | 1.2% | |
| 16 | Biden | 1.2% | |
| 17 | Robert | 1.2% | |
| 18 | Tory | 1.2% | |
| 19 | Press | 1.2% | |
| 20 | Mamata | 1.2% | |
| 21 | LDP | 0.6% | |
| 22 | Colin | 0.6% | |
| 23 | Watch | 0.6% | |
| 24 | Why | 0.6% | |
| 25 | Gen | 0.6% | |
| 26 | Day | 0.6% | |
| 27 | Africa’s | 0.6% | |
| 28 | America | 0.6% | |
| 29 | SP | 0.6% | |
| 30 | Beg | 0.6% | |
| 31 | Singh’s | 0.6% | |
| 32 | Mumbai | 0.6% | |
| 33 | Decode | 0.6% | |
| 34 | Warlord | 0.6% | |
| 35 | TD | 0.6% | |
| 36 | Entire | 0.6% | |
| 37 | Catch | 0.6% | |
| 38 | Magashules | 0.6% | |
| 39 | Trevor | 0.6% | |
| 40 | POP | 0.6% | |
| 41 | Civil | 0.6% | |
| 42 | Freedom | 0.6% | |
| 43 | Iran | 0.6% | |
| 44 | Bornman | 0.6% | |
| 45 | Ujjwal | 0.6% | |
| 46 | Michael | 0.6% | |
| 47 | VOX | 0.6% | |
| 48 | WATCH | 0.6% | |
| 49 | Humza | 0.6% | |
| 50 | Unionist | 0.6% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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