1 | COVID-19 | 2.59% | |
2 | New | 1.55% | |
3 | Maharashtra | 1.55% | |
4 | Covid-19 | 1.55% | |
5 | Covid | 1.55% | |
6 | Vaccine | 1.04% | |
7 | Woman | 1.04% | |
8 | Health | 1.04% | |
9 | Could | 1.04% | |
10 | India | 1.04% | |
11 | Jabalpur | 1.04% | |
12 | According | 1.04% | |
13 | Christopher | 1.04% | |
14 | US | 1.04% | |
15 | Avoid | 1.04% | |
16 | Housing | 0.52% | |
17 | Dinner | 0.52% | |
18 | Five | 0.52% | |
19 | Kristopher | 0.52% | |
20 | Moderna’s | 0.52% | |
21 | Day | 0.52% | |
22 | June | 0.52% | |
23 | Sydney | 0.52% | |
24 | Hat | 0.52% | |
25 | ADHD | 0.52% | |
26 | Mumbai | 0.52% | |
27 | Defeat | 0.52% | |
28 | Poop | 0.52% | |
29 | Hospital | 0.52% | |
30 | FACT | 0.52% | |
31 | Luxon | 0.52% | |
32 | Times | 0.52% | |
33 | Monday | 0.52% | |
34 | Nimbus | 0.52% | |
35 | Dodgers | 0.52% | |
36 | Are | 0.52% | |
37 | Baby | 0.52% | |
38 | mNEXSPIKE | 0.52% | |
39 | Updates | 0.52% | |
40 | Pandemic | 0.52% | |
41 | Eating | 0.52% | |
42 | Airport | 0.52% | |
43 | Expert | 0.52% | |
44 | Congress | 0.52% | |
45 | Delivering | 0.52% | |
46 | Aspects | 0.52% | |
47 | Medicine | 0.52% | |
48 | Dulles | 0.52% | |
49 | Nation | 0.52% | |
50 | Ivermectin | 0.52% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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