1 | Korea | 4.9% | |
2 | Seoul | 4.2% | |
3 | China | 2.8% | |
4 | S. | 2.1% | |
5 | News] | 2.1% | |
6 | LG | 1.4% | |
7 | [Photo | 1.4% | |
8 | N. | 1.4% | |
9 | [Herald | 1.4% | |
10 | Interview] | 1.4% | |
11 | Rohingya | 1.4% | |
12 | China’s | 1.4% | |
13 | US | 1.4% | |
14 | Kia | 1.4% | |
15 | Court | 0.7% | |
16 | Bang | 0.7% | |
17 | Laos-China | 0.7% | |
18 | DePetris] | 0.7% | |
19 | [KH | 0.7% | |
20 | Sea | 0.7% | |
21 | Indonesia’s | 0.7% | |
22 | Immigrant | 0.7% | |
23 | KTGs | 0.7% | |
24 | Korea’s | 0.7% | |
25 | Angry | 0.7% | |
26 | Russells | 0.7% | |
27 | Gaza? | 0.7% | |
28 | Rakhine | 0.7% | |
29 | Towers | 0.7% | |
30 | Hillstate | 0.7% | |
31 | Lees | 0.7% | |
32 | DX | 0.7% | |
33 | Jong | 0.7% | |
34 | Yangon | 0.7% | |
35 | Japan’s | 0.7% | |
36 | Seo | 0.7% | |
37 | K-pop] | 0.7% | |
38 | Koreas | 0.7% | |
39 | K4 | 0.7% | |
40 | Street’ | 0.7% | |
41 | Kejriwal | 0.7% | |
42 | Beijing | 0.7% | |
43 | Top | 0.7% | |
44 | Crimea | 0.7% | |
45 | Kyung-man | 0.7% | |
46 | Yoo-seok | 0.7% | |
47 | Force | 0.7% | |
48 | Filipino | 0.7% | |
49 | Russias | 0.7% | |
50 | Cyber | 0.7% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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