1 | Milano | 3.39% | |
2 | Society | 3.39% | |
3 | UK | 3.39% | |
4 | Alfaro | 1.69% | |
5 | Sofia | 1.69% | |
6 | Lo | 1.69% | |
7 | Clima | 1.69% | |
8 | DF | 1.69% | |
9 | ‘How | 1.69% | |
10 | Royal | 1.69% | |
11 | Fall | 1.69% | |
12 | Emprego | 1.69% | |
13 | Carne | 1.69% | |
14 | Woman | 1.69% | |
15 | New | 1.69% | |
16 | Aires | 1.69% | |
17 | Buenos | 1.69% | |
18 | Info | 1.69% | |
19 | Ley | 1.69% | |
20 | CDMX | 1.69% | |
21 | York | 1.69% | |
22 | Minha | 1.69% | |
23 | Dia | 1.69% | |
24 | Ramirez | 1.69% | |
25 | Homofobia | 1.69% | |
26 | 1.69% | ||
27 | Nicolas | 1.69% | |
28 | Mariupol | 1.69% | |
29 | Redes | 1.69% | |
30 | Sabina | 1.69% | |
31 | HC | 1.69% | |
32 | Tuttosport | 1.69% | |
33 | Pour | 1.69% | |
34 | GDL | 1.69% | |
35 | Tribunale | 1.69% | |
36 | van | 1.69% | |
37 | ‘Brexit | 1.69% | |
38 | Dementia | 1.69% | |
39 | AMLO | 1.69% | |
40 | EV | 1.69% | |
41 | Alzheimers | 1.69% | |
42 | Musk | 1.69% | |
43 | Lisbona | 1.69% | |
44 | Combate | 1.69% | |
45 | Delhi | 1.69% | |
46 | Internacional | 1.69% | |
47 | Adams | 1.69% | |
48 | Linea | 1.69% | |
49 | Chemistry | 1.69% | |
50 | Elon | 1.69% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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