1 | Covid-19 | 3.75% | |
2 | New | 2.5% | |
3 | COVID-19 | 2.5% | |
4 | Long | 2.5% | |
5 | Karnataka | 1.25% | |
6 | Spokane | 1.25% | |
7 | Diagnosis. | 1.25% | |
8 | Bad | 1.25% | |
9 | Beyond | 1.25% | |
10 | Gut | 1.25% | |
11 | Siew | 1.25% | |
12 | Age | 1.25% | |
13 | Hospital | 1.25% | |
14 | Turns | 1.25% | |
15 | Sugar | 1.25% | |
16 | Terrifying | 1.25% | |
17 | $1.4M | 1.25% | |
18 | Responsible | 1.25% | |
19 | Rogans | 1.25% | |
20 | Uncover | 1.25% | |
21 | Family | 1.25% | |
22 | Been | 1.25% | |
23 | Child | 1.25% | |
24 | Freckle | 1.25% | |
25 | She | 1.25% | |
26 | Have | 1.25% | |
27 | Questions | 1.25% | |
28 | Courtroom | 1.25% | |
29 | Moms | 1.25% | |
30 | Top | 1.25% | |
31 | Referee | 1.25% | |
32 | Middle | 1.25% | |
33 | Now | 1.25% | |
34 | Saying | 1.25% | |
35 | Serafima | 1.25% | |
36 | Active | 1.25% | |
37 | Houston | 1.25% | |
38 | Fog | 1.25% | |
39 | Texas | 1.25% | |
40 | Reports | 1.25% | |
41 | OECD | 1.25% | |
42 | Her | 1.25% | |
43 | Crosses | 1.25% | |
44 | India | 1.25% | |
45 | HC | 1.25% | |
46 | Behind | 1.25% | |
47 | Might | 1.25% | |
48 | Joe | 1.25% | |
49 | Into | 1.25% | |
50 | Cases | 1.25% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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