1 | Korea | 5.11% | |
2 | S. | 2.84% | |
3 | Seoul | 2.84% | |
4 | China | 1.7% | |
5 | US | 1.7% | |
6 | Air | 1.14% | |
7 | TSMC | 1.14% | |
8 | N. | 1.14% | |
9 | National | 1.14% | |
10 | Life | 1.14% | |
11 | Iran | 1.14% | |
12 | India | 1.14% | |
13 | Myanmar | 1.14% | |
14 | News] | 1.14% | |
15 | Park | 1.14% | |
16 | SK | 1.14% | |
17 | Yoon | 1.14% | |
18 | Korean | 1.14% | |
19 | Isfahan | 1.14% | |
20 | Rushdie’s | 0.57% | |
21 | Uyghurs | 0.57% | |
22 | Fouser] | 0.57% | |
23 | Jay | 0.57% | |
24 | June | 0.57% | |
25 | Sydney | 0.57% | |
26 | Modi | 0.57% | |
27 | NBA | 0.57% | |
28 | Modis’ | 0.57% | |
29 | Argentina | 0.57% | |
30 | Ream | 0.57% | |
31 | Bandwidth | 0.57% | |
32 | Tibetan | 0.57% | |
33 | Polestar | 0.57% | |
34 | Maltese | 0.57% | |
35 | High | 0.57% | |
36 | Tibet | 0.57% | |
37 | Putin | 0.57% | |
38 | Friday | 0.57% | |
39 | Taiwan’s | 0.57% | |
40 | ‘Here | 0.57% | |
41 | Memory | 0.57% | |
42 | [Photo | 0.57% | |
43 | Thai | 0.57% | |
44 | Islands | 0.57% | |
45 | Paju | 0.57% | |
46 | New | 0.57% | |
47 | Son-taek] | 0.57% | |
48 | [Wang | 0.57% | |
49 | Iran; | 0.57% | |
50 | [Korea | 0.57% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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