1 | House | 1.7% | |
2 | PM | 1.7% | |
3 | Party | 1.7% | |
4 | ANC | 1.7% | |
5 | Politics | 1.7% | |
6 | Rishi | 1.14% | |
7 | Eskom | 1.14% | |
8 | Vadra | 1.14% | |
9 | Dinner | 1.14% | |
10 | City | 1.14% | |
11 | Modi | 1.14% | |
12 | Correspondents | 1.14% | |
13 | Banerjee | 1.14% | |
14 | White | 1.14% | |
15 | Haryana | 1.14% | |
16 | Biden | 1.14% | |
17 | Robert | 1.14% | |
18 | MK | 1.14% | |
19 | Tory | 1.14% | |
20 | Press | 1.14% | |
21 | Mamata | 1.14% | |
22 | Colin | 0.57% | |
23 | Watch | 0.57% | |
24 | Bank | 0.57% | |
25 | Why | 0.57% | |
26 | Gen | 0.57% | |
27 | Day | 0.57% | |
28 | Africa’s | 0.57% | |
29 | America | 0.57% | |
30 | SP | 0.57% | |
31 | Beg | 0.57% | |
32 | Singh’s | 0.57% | |
33 | Mumbai | 0.57% | |
34 | Decode | 0.57% | |
35 | Warlord | 0.57% | |
36 | Ireland | 0.57% | |
37 | TD | 0.57% | |
38 | Entire | 0.57% | |
39 | Catch | 0.57% | |
40 | Magashules | 0.57% | |
41 | Trevor | 0.57% | |
42 | POP | 0.57% | |
43 | Civil | 0.57% | |
44 | Freedom | 0.57% | |
45 | Iran | 0.57% | |
46 | Bornman | 0.57% | |
47 | Ujjwal | 0.57% | |
48 | Michael | 0.57% | |
49 | VOX | 0.57% | |
50 | WATCH | 0.57% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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