1 | UK | 3.39% | |
2 | Legal | 1.69% | |
3 | Staff | 1.69% | |
4 | Society | 1.69% | |
5 | Modena | 1.69% | |
6 | Fraser | 1.69% | |
7 | Turkey | 1.69% | |
8 | Syndrome | 1.69% | |
9 | Visitors | 1.69% | |
10 | Millennials | 1.69% | |
11 | Transportation | 1.69% | |
12 | Margaret | 1.69% | |
13 | Korea’s | 1.69% | |
14 | British | 1.69% | |
15 | Meta | 1.69% | |
16 | Important | 1.69% | |
17 | Waggle | 1.69% | |
18 | Bergmann | 1.69% | |
19 | Urgent | 1.69% | |
20 | Naira | 1.69% | |
21 | Israel | 1.69% | |
22 | Historical | 1.69% | |
23 | Lee | 1.69% | |
24 | Hormone | 1.69% | |
25 | Triggered | 1.69% | |
26 | Issues | 1.69% | |
27 | India | 1.69% | |
28 | Travel | 1.69% | |
29 | Identification | 1.69% | |
30 | Gaza | 1.69% | |
31 | AI | 1.69% | |
32 | Unrest | 1.69% | |
33 | Report | 1.69% | |
34 | Secretion | 1.69% | |
35 | Antidiuretic | 1.69% | |
36 | Precautions | 1.69% | |
37 | Case | 1.69% | |
38 | Inappropriate | 1.69% | |
39 | Highlighting | 1.69% | |
40 | Public | 1.69% | |
41 | (SIADH) | 1.69% | |
42 | China | 1.69% | |
43 | gen | 1.69% | |
44 | Gerd | 1.69% | |
45 | MLAs | 1.69% | |
46 | Advisory | 1.69% | |
47 | No | 1.69% | |
48 | Heat | 1.69% | |
49 | Jae-myung | 1.69% | |
50 | Android | 1.69% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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