1 | China’s | 5% | |
2 | Trump | 5% | |
3 | US | 3.33% | |
4 | Russia | 3.33% | |
5 | Xi | 3.33% | |
6 | Europe | 3.33% | |
7 | India | 3.33% | |
8 | Indonesia | 3.33% | |
9 | North | 3.33% | |
10 | Trump’s | 3.33% | |
11 | Insults | 1.67% | |
12 | anti-China | 1.67% | |
13 | Chinas | 1.67% | |
14 | Korea’s | 1.67% | |
15 | New | 1.67% | |
16 | Trade | 1.67% | |
17 | ‘Godfather | 1.67% | |
18 | Japan’s | 1.67% | |
19 | PM | 1.67% | |
20 | F-15EX | 1.67% | |
21 | Lee | 1.67% | |
22 | Middle | 1.67% | |
23 | Trojan | 1.67% | |
24 | Mecca | 1.67% | |
25 | Friday | 1.67% | |
26 | Ispace | 1.67% | |
27 | Bengaluru | 1.67% | |
28 | Hong | 1.67% | |
29 | Koreans | 1.67% | |
30 | J-10 | 1.67% | |
31 | Imprisoned | 1.67% | |
32 | Zealand | 1.67% | |
33 | Wong | 1.67% | |
34 | Moon | 1.67% | |
35 | Musk | 1.67% | |
36 | Korea | 1.67% | |
37 | Resilience | 1.67% | |
38 | Ukraine’s | 1.67% | |
39 | Joshua | 1.67% | |
40 | Briefing | 1.67% | |
41 | Trumps | 1.67% | |
42 | Kong | 1.67% | |
43 | Has | 1.67% | |
44 | South | 1.67% | |
45 | East | 1.67% | |
46 | AI’ | 1.67% | |
47 | Lander | 1.67% | |
48 | Crashed | 1.67% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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