1 | China | 4.17% | |
2 | Korea | 2.78% | |
3 | US-China | 2.78% | |
4 | AI | 2.78% | |
5 | Musk | 2.78% | |
6 | US | 2.78% | |
7 | ‘Maybe | 1.39% | |
8 | America | 1.39% | |
9 | Ending’ | 1.39% | |
10 | Service | 1.39% | |
11 | State | 1.39% | |
12 | Damaged | 1.39% | |
13 | Japan-South | 1.39% | |
14 | Asian | 1.39% | |
15 | Russia | 1.39% | |
16 | Trade | 1.39% | |
17 | Agree | 1.39% | |
18 | Resume | 1.39% | |
19 | Happy | 1.39% | |
20 | Truce | 1.39% | |
21 | After | 1.39% | |
22 | Israel | 1.39% | |
23 | Lee | 1.39% | |
24 | Scary | 1.39% | |
25 | Manipur | 1.39% | |
26 | Eternal | 1.39% | |
27 | Tensions | 1.39% | |
28 | India | 1.39% | |
29 | Thailand | 1.39% | |
30 | Gaza | 1.39% | |
31 | Start | 1.39% | |
32 | North | 1.39% | |
33 | London | 1.39% | |
34 | HK | 1.39% | |
35 | OPINION | 1.39% | |
36 | Big | 1.39% | |
37 | RM | 1.39% | |
38 | Nears | 1.39% | |
39 | U.S. | 1.39% | |
40 | Nvidia | 1.39% | |
41 | Tiananmen | 1.39% | |
42 | Kent | 1.39% | |
43 | Lessons | 1.39% | |
44 | Pop’s | 1.39% | |
45 | Indias | 1.39% | |
46 | ?Time | 1.39% | |
47 | UK | 1.39% | |
48 | Scorsese | 1.39% | |
49 | Curfew | 1.39% | |
50 | Dnipropetrovsk | 1.39% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|