1 | Covid-19 | 2.35% | |
2 | India | 2.16% | |
3 | COVID-19 | 2.16% | |
4 | Covid | 1.18% | |
5 | Karnataka | 0.98% | |
6 | New | 0.78% | |
7 | May | 0.78% | |
8 | COVID | 0.59% | |
9 | According | 0.59% | |
10 | Delhi | 0.59% | |
11 | Coronavirus | 0.59% | |
12 | Just | 0.59% | |
13 | Kerala | 0.59% | |
14 | Sees | 0.59% | |
15 | Over | 0.59% | |
16 | Death | 0.59% | |
17 | BMC | 0.59% | |
18 | Maharashtra | 0.59% | |
19 | Was | 0.39% | |
20 | Infectious | 0.39% | |
21 | Study | 0.39% | |
22 | Gurugram | 0.39% | |
23 | CDC | 0.39% | |
24 | Patients | 0.39% | |
25 | Etienne-Emile | 0.39% | |
26 | June | 0.39% | |
27 | Urges | 0.39% | |
28 | Ozempic | 0.39% | |
29 | Safety | 0.39% | |
30 | Arizona | 0.39% | |
31 | Early | 0.39% | |
32 | Health | 0.39% | |
33 | Report | 0.39% | |
34 | Our | 0.39% | |
35 | High | 0.39% | |
36 | Brain | 0.39% | |
37 | Hospital | 0.39% | |
38 | Have | 0.39% | |
39 | Baulieu | 0.39% | |
40 | US | 0.39% | |
41 | Against | 0.39% | |
42 | Surge | 0.39% | |
43 | Disease | 0.39% | |
44 | Illness | 0.39% | |
45 | Amid | 0.39% | |
46 | Can | 0.39% | |
47 | News | 0.39% | |
48 | Codesign | 0.2% | |
49 | Overexpression | 0.2% | |
50 | Burlington | 0.2% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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