1 | Chinas | 1.8% | |
2 | Reza | 1.8% | |
3 | Fahmi | 1.8% | |
4 | AI | 1.8% | |
5 | China | 1.8% | |
6 | Gin | 1.8% | |
7 | UFC | 1.8% | |
8 | Apple | 1.8% | |
9 | Eagles | 0.9% | |
10 | MotoGP | 0.9% | |
11 | Up | 0.9% | |
12 | Jai | 0.9% | |
13 | Why | 0.9% | |
14 | Upgrade | 0.9% | |
15 | Japan | 0.9% | |
16 | Aragon | 0.9% | |
17 | Piano | 0.9% | |
18 | Sabah | 0.9% | |
19 | Film | 0.9% | |
20 | I’m | 0.9% | |
21 | Euro | 0.9% | |
22 | Boomer | 0.9% | |
23 | James | 0.9% | |
24 | For | 0.9% | |
25 | Monday | 0.9% | |
26 | Closer | 0.9% | |
27 | Spirals | 0.9% | |
28 | GOAT | 0.9% | |
29 | Preview | 0.9% | |
30 | Stewart | 0.9% | |
31 | [Spoiler]’s | 0.9% | |
32 | Just | 0.9% | |
33 | Beautiful | 0.9% | |
34 | Sridhar | 0.9% | |
35 | Indonesia | 0.9% | |
36 | Leaked | 0.9% | |
37 | Webb | 0.9% | |
38 | Today | 0.9% | |
39 | Danger | 0.9% | |
40 | Feeney | 0.9% | |
41 | Tianwen | 0.9% | |
42 | Europe | 0.9% | |
43 | Armadale | 0.9% | |
44 | After | 0.9% | |
45 | Switch | 0.9% | |
46 | MP | 0.9% | |
47 | EU | 0.9% | |
48 | Machines? | 0.9% | |
49 | Thornlie-Coburn | 0.9% | |
50 | Major | 0.9% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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