| 1 | Korea | 4.5% | |
| 2 | S. | 3.6% | |
| 3 | N. | 2.7% | |
| 4 | Seoul | 2.7% | |
| 5 | US | 2.7% | |
| 6 | [Photo | 1.8% | |
| 7 | CEO | 1.8% | |
| 8 | China | 1.8% | |
| 9 | News] | 1.8% | |
| 10 | NewJeans | 0.9% | |
| 11 | Nominee | 0.9% | |
| 12 | Choon-sik] | 0.9% | |
| 13 | [EYE] | 0.9% | |
| 14 | Coach | 0.9% | |
| 15 | Cuba | 0.9% | |
| 16 | June | 0.9% | |
| 17 | [What | 0.9% | |
| 18 | Samsung | 0.9% | |
| 19 | Woori | 0.9% | |
| 20 | [KH | 0.9% | |
| 21 | Zico | 0.9% | |
| 22 | Spot! | 0.9% | |
| 23 | Woman | 0.9% | |
| 24 | Wins | 0.9% | |
| 25 | Punishment | 0.9% | |
| 26 | Germany’s | 0.9% | |
| 27 | Naver | 0.9% | |
| 28 | Kao] | 0.9% | |
| 29 | Michael | 0.9% | |
| 30 | Cheongdam-dong | 0.9% | |
| 31 | Refresh | 0.9% | |
| 32 | Japan’s | 0.9% | |
| 33 | Indonesia | 0.9% | |
| 34 | Meeting | 0.9% | |
| 35 | Shinhan | 0.9% | |
| 36 | Fans | 0.9% | |
| 37 | Hybe | 0.9% | |
| 38 | KT | 0.9% | |
| 39 | Inspiration | 0.9% | |
| 40 | [Herald | 0.9% | |
| 41 | City | 0.9% | |
| 42 | Tesla | 0.9% | |
| 43 | An | 0.9% | |
| 44 | HD | 0.9% | |
| 45 | Yunchan | 0.9% | |
| 46 | Baceprot | 0.9% | |
| 47 | Hamas | 0.9% | |
| 48 | WEF | 0.9% | |
| 49 | Mistakes | 0.9% | |
| 50 | See] | 0.9% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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