1 | Korea | 3.96% | |
2 | Seoul | 2.97% | |
3 | China | 2.97% | |
4 | Hong | 1.98% | |
5 | Japan | 1.98% | |
6 | North | 1.98% | |
7 | South | 1.98% | |
8 | Australia | 0.99% | |
9 | Asiana | 0.99% | |
10 | Samsung | 0.99% | |
11 | Mins | 0.99% | |
12 | Global | 0.99% | |
13 | US’s | 0.99% | |
14 | [Photo | 0.99% | |
15 | Russia | 0.99% | |
16 | National | 0.99% | |
17 | Naver | 0.99% | |
18 | Legoland | 0.99% | |
19 | ELS | 0.99% | |
20 | DP | 0.99% | |
21 | S. | 0.99% | |
22 | PNG | 0.99% | |
23 | Japan’s | 0.99% | |
24 | Hampyeong | 0.99% | |
25 | AUKUS | 0.99% | |
26 | K-pop] | 0.99% | |
27 | Hybe | 0.99% | |
28 | Segal | 0.99% | |
29 | Relations | 0.99% | |
30 | [Herald | 0.99% | |
31 | BTS’ | 0.99% | |
32 | EU | 0.99% | |
33 | Buddhism’s | 0.99% | |
34 | Vietnam’s | 0.99% | |
35 | Filipino | 0.99% | |
36 | Second | 0.99% | |
37 | Noam | 0.99% | |
38 | Panchen | 0.99% | |
39 | CEO | 0.99% | |
40 | Canada | 0.99% | |
41 | Museum | 0.99% | |
42 | Xi | 0.99% | |
43 | Hybes | 0.99% | |
44 | Jeju | 0.99% | |
45 | Kong | 0.99% | |
46 | Air | 0.99% | |
47 | Butterfly | 0.99% | |
48 | Interview] | 0.99% | |
49 | May | 0.99% | |
50 | Posco | 0.99% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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