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المؤلفHassaine, Abdelaali
المؤلفSafi, Zeineb
المؤلفJaoua, Ali
تاريخ الإتاحة2020-09-24T10:49:25Z
تاريخ النشر2017
اسم المنشورAdvanced Science Letters
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1166/asl.2017.8998
معرّف المصادر الموحدhttp://hdl.handle.net/10576/16304
الملخصPrediction of date and Ideology (aka Islamic school or Madhab) is a very important research field. It allows scholars and researchers to find out more about what is specific to a particular period of time and what the main topics of interest were during each period. It also makes it possible to see how each Islamic school differs from others. In this paper, we describe a new system for date and Islamic school prediction for one single page of text. Our method extracts the keywords using the hyper concept algorithm which outputs the keywords in a structured tree based on their importance. The keywords are then fed to a classification algorithm which predicts both the date and the Islamic school associated to each document. Experiments have been conducted on a large database crawled from Shamela online library. The results show that date prediction can be done with a root mean square error of about 200 years. Moreover, we study how the error varies with respect to the time period. This study is the first in its kind that gives a global overview of the Islamic jurisprudence heritage.
راعي المشروعQatar National Research Fund, QNRF& Qatar Foundation, QF
اللغةen
الناشرAmerican Scientific Publishers
الموضوعDocument date prediction
Hyper rectangular decomposition
Islamic school prediction
Random forests
العنوانPrediction of date and ideology of old Islamic documents
النوعArticle
الصفحات4410-4413
رقم العدد5
رقم المجلد23
dc.accessType Abstract Only


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