| 1 | Quelles | 1.8% | |
| 2 | Nexity | 1.8% | |
| 3 | Tesla | 1.8% | |
| 4 | BNP | 1.8% | |
| 5 | Meta | 1.8% | |
| 6 | Anche | 1.8% | |
| 7 | di | 1.8% | |
| 8 | Borsa | 1.8% | |
| 9 | Usa | 1.8% | |
| 10 | Paribas | 1.8% | |
| 11 | Da | 1.8% | |
| 12 | Colpo | 0.9% | |
| 13 | (Walk-around) | 0.9% | |
| 14 | France | 0.9% | |
| 15 | ≪Semaine | 0.9% | |
| 16 | Talbot | 0.9% | |
| 17 | Salone | 0.9% | |
| 18 | Office | 0.9% | |
| 19 | Martin | 0.9% | |
| 20 | Jakubyszyn | 0.9% | |
| 21 | Fiat | 0.9% | |
| 22 | Vergeze | 0.9% | |
| 23 | dellAuto | 0.9% | |
| 24 | Paolo | 0.9% | |
| 25 | Rochelle-Saintes-Bor | 0.9% | |
| 26 | American | 0.9% | |
| 27 | Pratley | 0.9% | |
| 28 | Nils | 0.9% | |
| 29 | Stellantis | 0.9% | |
| 30 | Energy | 0.9% | |
| 31 | Sur | 0.9% | |
| 32 | Scattata | 0.9% | |
| 33 | Reuters | 0.9% | |
| 34 | Dongfeng | 0.9% | |
| 35 | New | 0.9% | |
| 36 | Europa | 0.9% | |
| 37 | Dyson | 0.9% | |
| 38 | GINEVRA... | 0.9% | |
| 39 | Motors | 0.9% | |
| 40 | Combien | 0.9% | |
| 41 | Fonti | 0.9% | |
| 42 | Scrutin | 0.9% | |
| 43 | Michelin | 0.9% | |
| 44 | Labour’s | 0.9% | |
| 45 | York | 0.9% | |
| 46 | Berlusconi | 0.9% | |
| 47 | ≪Jai | 0.9% | |
| 48 | Toute | 0.9% | |
| 49 | Production | 0.9% | |
| 50 | Sera | 0.9% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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