1 | Business | 3.7% | |
2 | Financial | 3.7% | |
3 | Market | 3.7% | |
4 | Acquiring | 1.85% | |
5 | Korea | 1.85% | |
6 | Defunding | 1.85% | |
7 | Profile | 1.85% | |
8 | Trumps | 1.85% | |
9 | Bulgaria | 1.85% | |
10 | Historic | 1.85% | |
11 | March | 1.85% | |
12 | Biebers | 1.85% | |
13 | E.L.F. | 1.85% | |
14 | Euro | 1.85% | |
15 | Dolores | 1.85% | |
16 | Energy | 1.85% | |
17 | Workers | 1.85% | |
18 | Unemployed’ | 1.85% | |
19 | Beauty | 1.85% | |
20 | Enterprises | 1.85% | |
21 | Many | 1.85% | |
22 | Ends | 1.85% | |
23 | Too | 1.85% | |
24 | Star | 1.85% | |
25 | Plan | 1.85% | |
26 | Grind | 1.85% | |
27 | Hailey | 1.85% | |
28 | ‘Functionally | 1.85% | |
29 | Milton-Freewater | 1.85% | |
30 | Germany | 1.85% | |
31 | Bureaucratic | 1.85% | |
32 | IFL | 1.85% | |
33 | Meet’ | 1.85% | |
34 | Research | 1.85% | |
35 | Club | 1.85% | |
36 | Rhode | 1.85% | |
37 | SA | 1.85% | |
38 | Billionaire’s | 1.85% | |
39 | Impact | 1.85% | |
40 | By | 1.85% | |
41 | Doing | 1.85% | |
42 | Washington | 1.85% | |
43 | US | 1.85% | |
44 | Protest | 1.85% | |
45 | South | 1.85% | |
46 | NC | 1.85% | |
47 | Saffron | 1.85% | |
48 | ‘Far | 1.85% | |
49 | Americans | 1.85% | |
50 | Adoption | 1.85% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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