| 1 | Minnesota | 5.13% | |
| 2 | Iran | 5.13% | |
| 3 | Trump | 5.13% | |
| 4 | Capitol | 5.13% | |
| 5 | State | 2.56% | |
| 6 | Thai | 2.56% | |
| 7 | PM’s | 2.56% | |
| 8 | New | 2.56% | |
| 9 | She | 2.56% | |
| 10 | Leaked | 2.56% | |
| 11 | Jersey | 2.56% | |
| 12 | Melissa | 2.56% | |
| 13 | Democrats | 2.56% | |
| 14 | After | 2.56% | |
| 15 | Mark | 2.56% | |
| 16 | Politicians | 2.56% | |
| 17 | Usher | 2.56% | |
| 18 | Trumps | 2.56% | |
| 19 | Collapse | 2.56% | |
| 20 | Biden | 2.56% | |
| 21 | Polite | 2.56% | |
| 22 | Hegseth | 2.56% | |
| 23 | Report | 2.56% | |
| 24 | Joe | 2.56% | |
| 25 | U.S. | 2.56% | |
| 26 | Virginia | 2.56% | |
| 27 | Brink | 2.56% | |
| 28 | Out | 2.56% | |
| 29 | Hill | 2.56% | |
| 30 | Call | 2.56% | |
| 31 | ‘I’m | 2.56% | |
| 32 | Way | 2.56% | |
| 33 | Hortman | 2.56% | |
| 34 | Coalition | 2.56% | |
| 35 | Phone | 2.56% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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