| 1 | Culture | 8.33% | |
| 2 | Tibetan | 5.56% | |
| 3 | Officer | 5.56% | |
| 4 | Brussels | 2.78% | |
| 5 | Hangout | 2.78% | |
| 6 | Students | 2.78% | |
| 7 | Indian | 2.78% | |
| 8 | Igbo | 2.78% | |
| 9 | Trending | 2.78% | |
| 10 | Times | 2.78% | |
| 11 | Chief | 2.78% | |
| 12 | Subcontinent | 2.78% | |
| 13 | Welsh | 2.78% | |
| 14 | Startup | 2.78% | |
| 15 | Liaison | 2.78% | |
| 16 | Jamyang | 2.78% | |
| 17 | Europe | 2.78% | |
| 18 | Briefs | 2.78% | |
| 19 | Nottingham | 2.78% | |
| 20 | Nazia | 2.78% | |
| 21 | School | 2.78% | |
| 22 | Lagos | 2.78% | |
| 23 | Senior | 2.78% | |
| 24 | Pizza | 2.78% | |
| 25 | Lophel | 2.78% | |
| 26 | People | 2.78% | |
| 27 | Bengaluru | 2.78% | |
| 28 | Hut | 2.78% | |
| 29 | Abidi | 2.78% | |
| 30 | Hindustan | 2.78% | |
| 31 | Language | 2.78% | |
| 32 | Colours | 2.78% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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