1 | India | 1.42% | |
2 | Melbourne | 1.07% | |
3 | Champions | 1.07% | |
4 | North | 1.07% | |
5 | League | 1.07% | |
6 | Piastri | 1.07% | |
7 | Korea | 0.71% | |
8 | Tech | 0.71% | |
9 | Matildas | 0.71% | |
10 | Monaco | 0.71% | |
11 | CEO | 0.71% | |
12 | BMW | 0.71% | |
13 | Sydney | 0.71% | |
14 | City | 0.71% | |
15 | NSW | 0.71% | |
16 | New | 0.71% | |
17 | NITI | 0.71% | |
18 | Family | 0.71% | |
19 | Aayog | 0.71% | |
20 | Australia | 0.71% | |
21 | Europeans | 0.71% | |
22 | Open | 0.71% | |
23 | India’s | 0.71% | |
24 | China | 0.71% | |
25 | WTA | 0.71% | |
26 | French | 0.71% | |
27 | Noboa | 0.71% | |
28 | Trump | 0.71% | |
29 | ‘I | 0.71% | |
30 | South | 0.71% | |
31 | Aussie | 0.71% | |
32 | Ruben | 0.36% | |
33 | Director | 0.36% | |
34 | Reveals | 0.36% | |
35 | Economy | 0.36% | |
36 | McGregor | 0.36% | |
37 | Jonathan | 0.36% | |
38 | Punisher | 0.36% | |
39 | Crash | 0.36% | |
40 | ‘We | 0.36% | |
41 | Cut | 0.36% | |
42 | Reckoning | 0.36% | |
43 | M2 | 0.36% | |
44 | Uncovers | 0.36% | |
45 | Japan | 0.36% | |
46 | Muhammad | 0.36% | |
47 | ACHIEVEMENT | 0.36% | |
48 | Windows | 0.36% | |
49 | Henry | 0.36% | |
50 | Alan | 0.36% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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