| 1 | IAEA | 3.3% | |
| 2 | NATO | 3.3% | |
| 3 | Russia | 3.3% | |
| 4 | Iran | 3.3% | |
| 5 | Israel | 3.3% | |
| 6 | Gaza | 3.3% | |
| 7 | Kyiv | 2.2% | |
| 8 | Mexico | 2.2% | |
| 9 | Hurricane | 2.2% | |
| 10 | Greta | 2.2% | |
| 11 | Barbara | 2.2% | |
| 12 | Thunberg | 2.2% | |
| 13 | Japan | 1.1% | |
| 14 | Singapore | 1.1% | |
| 15 | Meloni | 1.1% | |
| 16 | Kerala | 1.1% | |
| 17 | Ben-Gvir | 1.1% | |
| 18 | Korea’s | 1.1% | |
| 19 | Italy | 1.1% | |
| 20 | Are | 1.1% | |
| 21 | Updates | 1.1% | |
| 22 | Giorgia | 1.1% | |
| 23 | Superstructure | 1.1% | |
| 24 | Smotrich | 1.1% | |
| 25 | Dry | 1.1% | |
| 26 | Europe | 1.1% | |
| 27 | Oct. | 1.1% | |
| 28 | Russias | 1.1% | |
| 29 | Hamas | 1.1% | |
| 30 | Being | 1.1% | |
| 31 | Canada | 1.1% | |
| 32 | Near | 1.1% | |
| 33 | Austrias | 1.1% | |
| 34 | Hodeida | 1.1% | |
| 35 | India | 1.1% | |
| 36 | Carney | 1.1% | |
| 37 | Yemeni | 1.1% | |
| 38 | Gaza-bound | 1.1% | |
| 39 | North | 1.1% | |
| 40 | GHF | 1.1% | |
| 41 | Hegseth | 1.1% | |
| 42 | Dock | 1.1% | |
| 43 | Hudaydah | 1.1% | |
| 44 | NATOs | 1.1% | |
| 45 | Zelenskyy | 1.1% | |
| 46 | Appears | 1.1% | |
| 47 | Odesa | 1.1% | |
| 48 | Partially | 1.1% | |
| 49 | Pacific | 1.1% | |
| 50 | Zelensky | 1.1% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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