1 | Morrison | 4% | |
2 | Grimsby | 4% | |
3 | UK | 4% | |
4 | Elon | 4% | |
5 | Politics | 4% | |
6 | Hate | 2% | |
7 | Commissioner | 2% | |
8 | Cindy | 2% | |
9 | Speech | 2% | |
10 | Slovenians | 2% | |
11 | Musk’s | 2% | |
12 | Mebbingarri | 2% | |
13 | Reflect | 2% | |
14 | AUKUS | 2% | |
15 | Europe | 2% | |
16 | Ridge | 2% | |
17 | Roberts’ | 2% | |
18 | Dutton | 2% | |
19 | Highway | 2% | |
20 | Sanchez’s | 2% | |
21 | Nervousness? | 2% | |
22 | Tonkin | 2% | |
23 | Spain | 2% | |
24 | Modis | 2% | |
25 | Corbyn’s | 2% | |
26 | Voters | 2% | |
27 | Speers | 2% | |
28 | Anti-Muslim | 2% | |
29 | Does | 2% | |
30 | Election | 2% | |
31 | Samantha | 2% | |
32 | Towns | 2% | |
33 | David | 2% | |
34 | e-Safety | 2% | |
35 | Maiden | 2% | |
36 | Jeremy | 2% | |
37 | Scott | 2% | |
38 | VVPAT | 2% | |
39 | NT | 2% | |
40 | Serbia | 2% | |
41 | Target | 2% | |
42 | Sophy | 2% | |
43 | SC | 2% | |
44 | Hub | 2% | |
45 | Drysdale | 2% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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