• Inconsistency detection in Islamic advisory opinions using multilevel text categorization 

      Al Otaibi, Jameela; Hassaine, Abdelali; Safi, Zeineb; Jaoua, Ali ( American Scientific Publishers , 2017 , Article)
      Inconsistency detection is a large research area that has many applications. In the scope of Islamic content mining, this topic is of a particular interest because of the continuously increasing content and the need of ...
    • Sentiment analysis of islamic news data using hyper-concepts 

      Al-Kubaisi, Khalid; Hassaine, Abdelali; Jaoua, Ali ( American Scientific Publishers , 2017 , Article)
      Sentiment Analysis is the extraction of writers feeling from a written manuscript. It aims at predicting the sentiment of a particular text using automated means. There are two main ways to make predictions: (1) lexicon-based ...
    • Using conceptual reasoning for inconsistencies detection in islamic advisory opinion (Fatwas) 

      Al Otaibi, Jameela; Elloumi, Samir; Jaoua, Ali; Hassaine, Abdelali ( IEEE Computer Society , 2016 , Conference Paper)
      The Islamic websites play an important role in disseminating Islamic knowledge and information about Islamic ruling. Their number and the content they provide is continuously increasing which require in-depth investigations ...