| 1 | Business | 2.4% | |
| 2 | India | 2.4% | |
| 3 | News | 1.8% | |
| 4 | Fuels | 1.2% | |
| 5 | Temu | 1.2% | |
| 6 | Shein | 1.2% | |
| 7 | Channel | 1.2% | |
| 8 | June | 1.2% | |
| 9 | Enterprise | 1.2% | |
| 10 | PetroSA’s | 1.2% | |
| 11 | VAT | 1.2% | |
| 12 | Dirty | 1.2% | |
| 13 | Businesses | 1.2% | |
| 14 | Financial | 1.2% | |
| 15 | ECB | 1.2% | |
| 16 | Free | 0.6% | |
| 17 | XRP | 0.6% | |
| 18 | KFC | 0.6% | |
| 19 | Services | 0.6% | |
| 20 | Canadas | 0.6% | |
| 21 | Batch | 0.6% | |
| 22 | BoCs | 0.6% | |
| 23 | Bank | 0.6% | |
| 24 | Joins | 0.6% | |
| 25 | Licken | 0.6% | |
| 26 | California | 0.6% | |
| 27 | R11bn | 0.6% | |
| 28 | Griffins | 0.6% | |
| 29 | Pan | 0.6% | |
| 30 | Carmel | 0.6% | |
| 31 | Oak | 0.6% | |
| 32 | Chicken | 0.6% | |
| 33 | Christian | 0.6% | |
| 34 | Teachers | 0.6% | |
| 35 | State | 0.6% | |
| 36 | Mumbai | 0.6% | |
| 37 | Highlights | 0.6% | |
| 38 | Prediction | 0.6% | |
| 39 | Fall | 0.6% | |
| 40 | American | 0.6% | |
| 41 | Get | 0.6% | |
| 42 | Tribune | 0.6% | |
| 43 | Thai | 0.6% | |
| 44 | Apparel | 0.6% | |
| 45 | Chante | 0.6% | |
| 46 | Morning | 0.6% | |
| 47 | Edge | 0.6% | |
| 48 | WANotifier | 0.6% | |
| 49 | Department | 0.6% | |
| 50 | Toolkit | 0.6% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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