1 | Baltimore | 3.96% | |
2 | Trump | 3.96% | |
3 | China | 2.97% | |
4 | New | 1.98% | |
5 | Former | 1.98% | |
6 | Australia | 1.98% | |
7 | Fiji | 1.98% | |
8 | Bainimarama | 1.98% | |
9 | India | 1.98% | |
10 | Thailand | 1.98% | |
11 | Asia | 1.98% | |
12 | Nature | 0.99% | |
13 | War | 0.99% | |
14 | Berlin | 0.99% | |
15 | Korea | 0.99% | |
16 | Prehistoric | 0.99% | |
17 | Qiliho | 0.99% | |
18 | Italys | 0.99% | |
19 | Arvind | 0.99% | |
20 | Shopper | 0.99% | |
21 | Giant | 0.99% | |
22 | Peace | 0.99% | |
23 | GIANT | 0.99% | |
24 | Bowling | 0.99% | |
25 | Fire | 0.99% | |
26 | Stewart | 0.99% | |
27 | Dolphin | 0.99% | |
28 | Illinois | 0.99% | |
29 | Lieberman | 0.99% | |
30 | PM | 0.99% | |
31 | Kejriwal | 0.99% | |
32 | Large | 0.99% | |
33 | Jon | 0.99% | |
34 | York | 0.99% | |
35 | Israel | 0.99% | |
36 | Victor | 0.99% | |
37 | UNRWA | 0.99% | |
38 | ROBOT | 0.99% | |
39 | CM | 0.99% | |
40 | Second | 0.99% | |
41 | Green | 0.99% | |
42 | Sen. | 0.99% | |
43 | Farrant | 0.99% | |
44 | Zurich | 0.99% | |
45 | Reported | 0.99% | |
46 | Frank | 0.99% | |
47 | Air | 0.99% | |
48 | ex-Donald | 0.99% | |
49 | Kharkiv | 0.99% | |
50 | Gaza | 0.99% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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