1 | Korea | 5.29% | |
2 | S. | 2.94% | |
3 | Seoul | 2.94% | |
4 | Iran | 1.76% | |
5 | China | 1.76% | |
6 | US | 1.76% | |
7 | TSMC | 1.18% | |
8 | National | 1.18% | |
9 | Air | 1.18% | |
10 | N. | 1.18% | |
11 | Life | 1.18% | |
12 | News] | 1.18% | |
13 | Park | 1.18% | |
14 | SK | 1.18% | |
15 | Yoon | 1.18% | |
16 | Korean | 1.18% | |
17 | Isfahan | 1.18% | |
18 | Uyghurs | 0.59% | |
19 | Fouser] | 0.59% | |
20 | Jay | 0.59% | |
21 | June | 0.59% | |
22 | Modi | 0.59% | |
23 | NBA | 0.59% | |
24 | Modis’ | 0.59% | |
25 | Argentina | 0.59% | |
26 | Ream | 0.59% | |
27 | Bandwidth | 0.59% | |
28 | Tibetan | 0.59% | |
29 | Polestar | 0.59% | |
30 | Maltese | 0.59% | |
31 | High | 0.59% | |
32 | Tibet | 0.59% | |
33 | Putin | 0.59% | |
34 | Friday | 0.59% | |
35 | Taiwan’s | 0.59% | |
36 | Confucius | 0.59% | |
37 | Memory | 0.59% | |
38 | [Photo | 0.59% | |
39 | Aung | 0.59% | |
40 | Islands | 0.59% | |
41 | Paju | 0.59% | |
42 | New | 0.59% | |
43 | Son-taek] | 0.59% | |
44 | [Wang | 0.59% | |
45 | Iran; | 0.59% | |
46 | [Korea | 0.59% | |
47 | K-pop] | 0.59% | |
48 | HBM | 0.59% | |
49 | Yonsei | 0.59% | |
50 | Koreas | 0.59% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|