1 | Trump | 4.12% | |
2 | Lee | 3.09% | |
3 | Ukraine’s | 3.09% | |
4 | Trump’s | 3.09% | |
5 | China’s | 3.09% | |
6 | Korea’s | 2.06% | |
7 | Korea | 2.06% | |
8 | Xi | 2.06% | |
9 | Indonesia | 2.06% | |
10 | Europe | 2.06% | |
11 | Russia | 2.06% | |
12 | India | 2.06% | |
13 | North | 2.06% | |
14 | China | 2.06% | |
15 | US | 2.06% | |
16 | Jae-myung | 2.06% | |
17 | America | 1.03% | |
18 | anti-China | 1.03% | |
19 | Friday | 1.03% | |
20 | Trees | 1.03% | |
21 | Chinas | 1.03% | |
22 | New | 1.03% | |
23 | Golden | 1.03% | |
24 | Trade | 1.03% | |
25 | ‘Godfather | 1.03% | |
26 | Japan’s | 1.03% | |
27 | PM | 1.03% | |
28 | F-15EX | 1.03% | |
29 | Dwindling | 1.03% | |
30 | Danantara | 1.03% | |
31 | Middle | 1.03% | |
32 | Ancient | 1.03% | |
33 | Trojan | 1.03% | |
34 | Wild | 1.03% | |
35 | Pacific’s | 1.03% | |
36 | Mecca | 1.03% | |
37 | Ground | 1.03% | |
38 | Dome | 1.03% | |
39 | Kong | 1.03% | |
40 | Thailand | 1.03% | |
41 | Ispace | 1.03% | |
42 | Bengaluru | 1.03% | |
43 | Hong | 1.03% | |
44 | TikTok | 1.03% | |
45 | Koreans | 1.03% | |
46 | Malaysia | 1.03% | |
47 | J-10 | 1.03% | |
48 | Imprisoned | 1.03% | |
49 | Tiananmen | 1.03% | |
50 | Zealand | 1.03% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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