1 | Korea | 6.49% | |
2 | US | 5.19% | |
3 | N. | 3.9% | |
4 | S. | 2.6% | |
5 | Seoul | 2.6% | |
6 | China | 2.6% | |
7 | Blinken | 2.6% | |
8 | Chinese | 2.6% | |
9 | Coach | 1.3% | |
10 | Shein | 1.3% | |
11 | [What | 1.3% | |
12 | Japan | 1.3% | |
13 | US’s | 1.3% | |
14 | Punishment | 1.3% | |
15 | Russia | 1.3% | |
16 | National | 1.3% | |
17 | Cheongdam-dong | 1.3% | |
18 | Refresh | 1.3% | |
19 | Segal | 1.3% | |
20 | Relations | 1.3% | |
21 | [Herald | 1.3% | |
22 | EU | 1.3% | |
23 | Buddhism’s | 1.3% | |
24 | Tesla | 1.3% | |
25 | An | 1.3% | |
26 | Filipino | 1.3% | |
27 | Noam | 1.3% | |
28 | Panchen | 1.3% | |
29 | See] | 1.3% | |
30 | Museum | 1.3% | |
31 | Xi | 1.3% | |
32 | Vietnam’s | 1.3% | |
33 | Interview] | 1.3% | |
34 | North | 1.3% | |
35 | AI | 1.3% | |
36 | Koreans | 1.3% | |
37 | Scarborough | 1.3% | |
38 | [Weekender] | 1.3% | |
39 | Kong | 1.3% | |
40 | Myanmar | 1.3% | |
41 | Does | 1.3% | |
42 | [Music | 1.3% | |
43 | EV | 1.3% | |
44 | DDP | 1.3% | |
45 | Hong | 1.3% | |
46 | Sen | 1.3% | |
47 | Hun | 1.3% | |
48 | drama] | 1.3% | |
49 | [EYE] | 1.3% | |
50 | How | 1.3% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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