1 | Covid | 2.07% | |
2 | New | 1.55% | |
3 | Covid-19 | 1.29% | |
4 | Neymar | 1.29% | |
5 | India | 1.03% | |
6 | Maharashtra | 1.03% | |
7 | COVID-19 | 1.03% | |
8 | Pune | 0.78% | |
9 | Salmonella | 0.78% | |
10 | Forecast | 0.78% | |
11 | Cases | 0.78% | |
12 | China | 0.78% | |
13 | Out | 0.78% | |
14 | Mumbai | 0.52% | |
15 | Expert | 0.52% | |
16 | Coronavirus | 0.52% | |
17 | Ozempic | 0.52% | |
18 | COVID | 0.52% | |
19 | Maharashtras | 0.52% | |
20 | Outbreak | 0.52% | |
21 | Cross | 0.52% | |
22 | Something | 0.52% | |
23 | Americas | 0.52% | |
24 | June | 0.52% | |
25 | Study | 0.52% | |
26 | Gujarat | 0.52% | |
27 | According | 0.52% | |
28 | Never | 0.52% | |
29 | Highest | 0.52% | |
30 | About | 0.52% | |
31 | Mark; | 0.52% | |
32 | Trump | 0.52% | |
33 | IIT | 0.52% | |
34 | Record | 0.52% | |
35 | Jan | 0.52% | |
36 | Guwahati | 0.52% | |
37 | News | 0.52% | |
38 | Former | 0.52% | |
39 | Persistent | 0.26% | |
40 | Immune | 0.26% | |
41 | Level | 0.26% | |
42 | Less | 0.26% | |
43 | Multinational | 0.26% | |
44 | HRQoL | 0.26% | |
45 | Donkeys | 0.26% | |
46 | Tick | 0.26% | |
47 | Abu | 0.26% | |
48 | Gut | 0.26% | |
49 | Fresh | 0.26% | |
50 | Loss | 0.26% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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