1 | China | 4.4% | |
2 | India | 3.66% | |
3 | China’s | 3.3% | |
4 | Air | 2.2% | |
5 | Trump | 2.2% | |
6 | Iran | 1.83% | |
7 | Trump’s | 1.83% | |
8 | Hong | 1.47% | |
9 | Korea | 1.47% | |
10 | New | 1.47% | |
11 | Kong | 1.47% | |
12 | Cambodia | 1.47% | |
13 | Plane | 1.1% | |
14 | Israel | 1.1% | |
15 | America | 1.1% | |
16 | US | 1.1% | |
17 | Chinese | 1.1% | |
18 | South | 1.1% | |
19 | Taiwan | 1.1% | |
20 | Safety | 0.73% | |
21 | Crash | 0.73% | |
22 | Thai | 0.73% | |
23 | Thailand | 0.73% | |
24 | Crash? | 0.73% | |
25 | Europe | 0.73% | |
26 | U.S. | 0.73% | |
27 | Vietnam | 0.73% | |
28 | Side | 0.37% | |
29 | Tax | 0.37% | |
30 | ‘Mao | 0.37% | |
31 | ‘Little | 0.37% | |
32 | Bad | 0.37% | |
33 | France | 0.37% | |
34 | Fresh | 0.37% | |
35 | Raised | 0.37% | |
36 | Australia | 0.37% | |
37 | Huawei | 0.37% | |
38 | Walls | 0.37% | |
39 | Lam’s | 0.37% | |
40 | Lennon | 0.37% | |
41 | State | 0.37% | |
42 | Damaged | 0.37% | |
43 | Bougainville | 0.37% | |
44 | Global | 0.37% | |
45 | Boeing | 0.37% | |
46 | Killing | 0.37% | |
47 | Had | 0.37% | |
48 | Tibetan | 0.37% | |
49 | Safest | 0.37% | |
50 | Brings | 0.37% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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