1 | [Editorial] | 10.87% | |
2 | AI | 4.35% | |
3 | Choon-sik] | 2.17% | |
4 | War | 2.17% | |
5 | Fouser] | 2.17% | |
6 | Singer] | 2.17% | |
7 | [Eric | 2.17% | |
8 | National | 2.17% | |
9 | Korea’s | 2.17% | |
10 | New | 2.17% | |
11 | Son-taek] | 2.17% | |
12 | [Wang | 2.17% | |
13 | Cambridge | 2.17% | |
14 | Israel | 2.17% | |
15 | Democracy | 2.17% | |
16 | [Kim | 2.17% | |
17 | Flashpoint | 2.17% | |
18 | Middle | 2.17% | |
19 | Ross] | 2.17% | |
20 | [Robert | 2.17% | |
21 | Gaza | 2.17% | |
22 | [Dennis | 2.17% | |
23 | Korea | 2.17% | |
24 | Will | 2.17% | |
25 | J. | 2.17% | |
26 | Words | 2.17% | |
27 | Sierakowski] | 2.17% | |
28 | Tone] | 2.17% | |
29 | Posner] | 2.17% | |
30 | [Peter | 2.17% | |
31 | No | 2.17% | |
32 | South | 2.17% | |
33 | [Sławomir | 2.17% | |
34 | Seong-kon] | 2.17% | |
35 | [Yoo | 2.17% | |
36 | East | 2.17% | |
37 | Assembly | 2.17% | |
38 | Korean | 2.17% | |
39 | [Room | 2.17% | |
40 | Act | 2.17% | |
41 | Beating | 2.17% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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