1 | LG | 4.55% | |
2 | Korea | 4.55% | |
3 | Seoul | 4.55% | |
4 | US | 4.55% | |
5 | Audi | 2.27% | |
6 | Future | 2.27% | |
7 | Changi | 2.27% | |
8 | Bang | 2.27% | |
9 | Samsung | 2.27% | |
10 | Singapore | 2.27% | |
11 | [KH | 2.27% | |
12 | Indonesia’s | 2.27% | |
13 | KTGs | 2.27% | |
14 | [Photo | 2.27% | |
15 | Korea’s | 2.27% | |
16 | Airport | 2.27% | |
17 | Towers | 2.27% | |
18 | DX | 2.27% | |
19 | Koreas | 2.27% | |
20 | Kyung-man | 2.27% | |
21 | CEO | 2.27% | |
22 | Olive | 2.27% | |
23 | CJ | 2.27% | |
24 | Hanmi-OCI | 2.27% | |
25 | Posco | 2.27% | |
26 | AI | 2.27% | |
27 | Twin | 2.27% | |
28 | Kakao | 2.27% | |
29 | CMO | 2.27% | |
30 | SKT | 2.27% | |
31 | Young | 2.27% | |
32 | News] | 2.27% | |
33 | How | 2.27% | |
34 | Mas | 2.27% | |
35 | Sinar | 2.27% | |
36 | CNS | 2.27% | |
37 | February | 2.27% | |
38 | Kia | 2.27% | |
39 | Explains] | 2.27% | |
40 | EV9 | 2.27% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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