1 | Travel | 3.81% | |
2 | Africa | 3.81% | |
3 | EUA | 2.86% | |
4 | Brasil | 2.86% | |
5 | South | 2.86% | |
6 | Rockford | 1.9% | |
7 | New | 1.9% | |
8 | China | 1.9% | |
9 | Jorge | 1.9% | |
10 | Chavez | 1.9% | |
11 | Episodio | 0.95% | |
12 | Shinkansen | 0.95% | |
13 | ‘Dame | 0.95% | |
14 | Mumbai | 0.95% | |
15 | Egypt | 0.95% | |
16 | ¿Planea | 0.95% | |
17 | Algunas | 0.95% | |
18 | Trip | 0.95% | |
19 | Royal | 0.95% | |
20 | TTOS | 0.95% | |
21 | Change | 0.95% | |
22 | (Exclusive) | 0.95% | |
23 | TENSO | 0.95% | |
24 | Video | 0.95% | |
25 | Vuelta | 0.95% | |
26 | Willing | 0.95% | |
27 | al | 0.95% | |
28 | Tourists | 0.95% | |
29 | Japan’s | 0.95% | |
30 | Trials | 0.95% | |
31 | CUCUTA | 0.95% | |
32 | ROJA | 0.95% | |
33 | Tourism | 0.95% | |
34 | Parents | 0.95% | |
35 | Unidos | 0.95% | |
36 | ESTORAQUES | 0.95% | |
37 | Nuevo | 0.95% | |
38 | Zimbabwe | 0.95% | |
39 | Transform | 0.95% | |
40 | India? | 0.95% | |
41 | Sector | 0.95% | |
42 | Canada | 0.95% | |
43 | Prison | 0.95% | |
44 | Jump | 0.95% | |
45 | Ahmedabad | 0.95% | |
46 | India | 0.95% | |
47 | Camila | 0.95% | |
48 | Between | 0.95% | |
49 | Boosting | 0.95% | |
50 | Nine | 0.95% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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