Arabic Language Modeling Based on Supervised Machine Learning

Misinformation and misleading actions have appeared as soon COVID-19 vaccinations campaigns were launched, no matter what the country’s alphabetization level or growing index is. In such a situation, supervised machine learning techniques for classification appears suitable solution to model value & veracity of data, especially in Arabic language used by millions people around world. To achieve this task, we had collect data manually from SM platforms Facebook, Twitter news websites. This paper aims classify into fake real news, creating Machine Learning (ML) that will detect (DAFN) about vaccination. our goal, use Natural Language Processing (NLP) techniques, which is challenging since NLP libraries support not common. We NLTK package python preprocess then ML classification.