1 | Korea | 4.35% | |
2 | China | 4.35% | |
3 | Seoul | 3.26% | |
4 | South | 3.26% | |
5 | Global | 2.17% | |
6 | Russia | 2.17% | |
7 | Venice | 2.17% | |
8 | May | 2.17% | |
9 | News] | 2.17% | |
10 | Paris | 2.17% | |
11 | China’s | 2.17% | |
12 | Australia | 1.09% | |
13 | Asiana | 1.09% | |
14 | Samsung | 1.09% | |
15 | NATO | 1.09% | |
16 | So-hyun] | 1.09% | |
17 | State | 1.09% | |
18 | Trees | 1.09% | |
19 | [Photo | 1.09% | |
20 | Video | 1.09% | |
21 | Legoland | 1.09% | |
22 | Compass] | 1.09% | |
23 | [Career | 1.09% | |
24 | New | 1.09% | |
25 | ELS | 1.09% | |
26 | DP | 1.09% | |
27 | S. | 1.09% | |
28 | PNG | 1.09% | |
29 | Indonesia | 1.09% | |
30 | Hampyeong | 1.09% | |
31 | AUKUS | 1.09% | |
32 | K-pop] | 1.09% | |
33 | Europe | 1.09% | |
34 | BTS’ | 1.09% | |
35 | EU | 1.09% | |
36 | [Kim | 1.09% | |
37 | Southeast | 1.09% | |
38 | Second | 1.09% | |
39 | Dept. | 1.09% | |
40 | Junta | 1.09% | |
41 | Canada | 1.09% | |
42 | Hybes | 1.09% | |
43 | Jeju | 1.09% | |
44 | Air | 1.09% | |
45 | Butterfly | 1.09% | |
46 | Hong | 1.09% | |
47 | Pavilions | 1.09% | |
48 | Posco | 1.09% | |
49 | Rohingya | 1.09% | |
50 | RM | 1.09% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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