1 | Hollywood | 2.3% | |
2 | Netflix | 2.3% | |
3 | Jeremy | 1.15% | |
4 | ‘confusion’ | 1.15% | |
5 | Taylor | 1.15% | |
6 | France | 1.15% | |
7 | Leal | 1.15% | |
8 | Macron | 1.15% | |
9 | Scarlatti | 1.15% | |
10 | Martin | 1.15% | |
11 | Christy | 1.15% | |
12 | June | 1.15% | |
13 | Sydney | 1.15% | |
14 | Emmanuel | 1.15% | |
15 | Ginny | 1.15% | |
16 | Georgia | 1.15% | |
17 | Todays | 1.15% | |
18 | Fiona | 1.15% | |
19 | Doc | 1.15% | |
20 | Relationchips | 1.15% | |
21 | Royal | 1.15% | |
22 | Labubu | 1.15% | |
23 | Martedi | 1.15% | |
24 | Elegi | 1.15% | |
25 | Sigo | 1.15% | |
26 | Baby | 1.15% | |
27 | Inside | 1.15% | |
28 | Liz | 1.15% | |
29 | Gonzalez | 1.15% | |
30 | Family | 1.15% | |
31 | NYT | 1.15% | |
32 | Urgence | 1.15% | |
33 | George | 1.15% | |
34 | Inusual | 1.15% | |
35 | LIVE | 1.15% | |
36 | Wynne | 1.15% | |
37 | Stasera | 1.15% | |
38 | Audiences | 1.15% | |
39 | Johansson | 1.15% | |
40 | Martha | 1.15% | |
41 | Strictly | 1.15% | |
42 | Doppio | 1.15% | |
43 | Giugno | 1.15% | |
44 | Clooney | 1.15% | |
45 | Mirren | 1.15% | |
46 | Jung | 1.15% | |
47 | Come | 1.15% | |
48 | Parodi | 1.15% | |
49 | Sweeney | 1.15% | |
50 | Tinder | 1.15% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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