1 | Maharashtra | 2.94% | |
2 | COVID-19 | 2.94% | |
3 | Kravitz | 1.47% | |
4 | Symptom | 1.47% | |
5 | Here’s | 1.47% | |
6 | Housing | 1.47% | |
7 | June | 1.47% | |
8 | ADHD | 1.47% | |
9 | Mumbai | 1.47% | |
10 | FACT | 1.47% | |
11 | Could | 1.47% | |
12 | Times | 1.47% | |
13 | Monday | 1.47% | |
14 | Nimbus | 1.47% | |
15 | Dodgers | 1.47% | |
16 | New | 1.47% | |
17 | Pandemic | 1.47% | |
18 | Eating | 1.47% | |
19 | NZ | 1.47% | |
20 | Luxons | 1.47% | |
21 | Pharmacy | 1.47% | |
22 | Lenny | 1.47% | |
23 | Warning | 1.47% | |
24 | Approach | 1.47% | |
25 | Health | 1.47% | |
26 | Sen. | 1.47% | |
27 | Statewide | 1.47% | |
28 | Too | 1.47% | |
29 | India | 1.47% | |
30 | People | 1.47% | |
31 | Soul | 1.47% | |
32 | Lung | 1.47% | |
33 | Most | 1.47% | |
34 | Realize | 1.47% | |
35 | Smith | 1.47% | |
36 | Forecast | 1.47% | |
37 | Dementia | 1.47% | |
38 | U.S. | 1.47% | |
39 | America? | 1.47% | |
40 | Much | 1.47% | |
41 | According | 1.47% | |
42 | Christopher | 1.47% | |
43 | Shohei | 1.47% | |
44 | Silent | 1.47% | |
45 | Indias | 1.47% | |
46 | Ohtani | 1.47% | |
47 | Total | 1.47% | |
48 | Tina | 1.47% | |
49 | Salt | 1.47% | |
50 | How | 1.47% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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