دورية أكاديمية
ANAD: Arabic news article dataset
| العنوان: | ANAD: Arabic news article dataset |
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| المؤلفون: | Mohammed Altamimi, Abdulaziz M. Alayba |
| المصدر: | Data in Brief, Vol 50, Iss , Pp 109460- (2023) |
| بيانات النشر: | Elsevier, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Science (General) |
| مصطلحات موضوعية: | Arabic news articles, Data analysis, Classification, Natural language processing (NLP), Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390 |
| الوصف: | In this paper, we present a modern standard Arabic dataset based on Arabic news articles collected over a one-year period from 01/01/2021 to 12/31/2021. In total, from 12 Arabic news websites, over 500,000 articles were collected, the selection of which was driven by a variety of topics, including sports, economies, local news, politics, tech, tourism, entertainment, cars, health, and art. The development of this dataset will enable data scientists to explore and experiment effectively in the field of natural language processing, and the dataset can also be used to develop machine learning and deep learning models to classify articles according to topic. The dataset is available for download athttps://github.com/alaybaa/ArabicArticlesDataset/tree/main. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2352-3409 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2352340923005607; https://doaj.org/toc/2352-3409 |
| DOI: | 10.1016/j.dib.2023.109460 |
| URL الوصول: | https://doaj.org/article/ab153bffb8964010a788149ca0dec8f0 |
| رقم الأكسشن: | edsdoj.b153bffb8964010a788149ca0dec8f0 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 23523409 |
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| DOI: | 10.1016/j.dib.2023.109460 |