1 | India | 4% | |
2 | North | 4% | |
3 | Ukraine’s | 4% | |
4 | Trump | 4% | |
5 | US | 4% | |
6 | Trump’s | 4% | |
7 | China’s | 4% | |
8 | Chinas | 2% | |
9 | Korea’s | 2% | |
10 | Golden | 2% | |
11 | Trade | 2% | |
12 | ‘Godfather | 2% | |
13 | Indonesia | 2% | |
14 | F-15EX | 2% | |
15 | Europe | 2% | |
16 | Lee | 2% | |
17 | Dome | 2% | |
18 | Li | 2% | |
19 | Trojan | 2% | |
20 | Pacific’s | 2% | |
21 | Xi | 2% | |
22 | Mecca | 2% | |
23 | Hong | 2% | |
24 | Kong | 2% | |
25 | Korea | 2% | |
26 | Koreans | 2% | |
27 | J-10 | 2% | |
28 | Imprisoned | 2% | |
29 | Wong | 2% | |
30 | Musk | 2% | |
31 | Qiang’s | 2% | |
32 | Trumps | 2% | |
33 | Joshua | 2% | |
34 | Briefing | 2% | |
35 | Hot | 2% | |
36 | Insults | 2% | |
37 | South | 2% | |
38 | Web | 2% | |
39 | Operation | 2% | |
40 | AI’ | 2% | |
41 | Friday | 2% | |
42 | Russia | 2% | |
43 | Spider | 2% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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