| 1 | Harvard | 1.69% | |
| 2 | Israel | 1.69% | |
| 3 | Trump | 1.69% | |
| 4 | Stamping | 0.85% | |
| 5 | Newark’s | 0.85% | |
| 6 | Publicist | 0.85% | |
| 7 | Culture | 0.85% | |
| 8 | Future | 0.85% | |
| 9 | Its | 0.85% | |
| 10 | Event | 0.85% | |
| 11 | Students | 0.85% | |
| 12 | Broken | 0.85% | |
| 13 | Chain’s | 0.85% | |
| 14 | Xi’s | 0.85% | |
| 15 | Mayor | 0.85% | |
| 16 | Weinstein’s | 0.85% | |
| 17 | Seek | 0.85% | |
| 18 | Father | 0.85% | |
| 19 | Tropes | 0.85% | |
| 20 | Viral | 0.85% | |
| 21 | Haefeli | 0.85% | |
| 22 | Chancellor | 0.85% | |
| 23 | Perks | 0.85% | |
| 24 | Barbecue | 0.85% | |
| 25 | Brings | 0.85% | |
| 26 | ‘Becky | 0.85% | |
| 27 | Broadway | 0.85% | |
| 28 | Alum | 0.85% | |
| 29 | Are | 0.85% | |
| 30 | Malicious | 0.85% | |
| 31 | Dupont | 0.85% | |
| 32 | Northern | 0.85% | |
| 33 | Pop-Up | 0.85% | |
| 34 | Coming | 0.85% | |
| 35 | DOJ | 0.85% | |
| 36 | Melissa | 0.85% | |
| 37 | Top | 0.85% | |
| 38 | Former | 0.85% | |
| 39 | City | 0.85% | |
| 40 | Similar | 0.85% | |
| 41 | School’s | 0.85% | |
| 42 | Hamas | 0.85% | |
| 43 | Detail | 0.85% | |
| 44 | CEO | 0.85% | |
| 45 | Westmoreland | 0.85% | |
| 46 | McCarthy’s | 0.85% | |
| 47 | TaxWatch | 0.85% | |
| 48 | Being | 0.85% | |
| 49 | Franchise | 0.85% | |
| 50 | Legacy? | 0.85% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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