1 | Covid-19 | 5.13% | |
2 | Long | 5.13% | |
3 | Karnataka | 2.56% | |
4 | Spokane | 2.56% | |
5 | Bad | 2.56% | |
6 | Gut | 2.56% | |
7 | Siew | 2.56% | |
8 | Sugar | 2.56% | |
9 | $1.4M | 2.56% | |
10 | New | 2.56% | |
11 | Uncover | 2.56% | |
12 | Been | 2.56% | |
13 | Child | 2.56% | |
14 | Have | 2.56% | |
15 | Saying | 2.56% | |
16 | Serafima | 2.56% | |
17 | Active | 2.56% | |
18 | Reports | 2.56% | |
19 | OECD | 2.56% | |
20 | Crosses | 2.56% | |
21 | Might | 2.56% | |
22 | Joe | 2.56% | |
23 | Cases | 2.56% | |
24 | Hero | 2.56% | |
25 | Key | 2.56% | |
26 | Unsung | 2.56% | |
27 | Rogans | 2.56% | |
28 | 300-Mark | 2.56% | |
29 | Ng | 2.56% | |
30 | Prof | 2.56% | |
31 | Researchers | 2.56% | |
32 | COVID? | 2.56% | |
33 | Be | 2.56% | |
34 | Count | 2.56% | |
35 | Covid | 2.56% | |
36 | Serafimova | 2.56% | |
37 | Beating | 2.56% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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