Knowledge Discovery in Al-Hadith Using Text Classification Algorithm
Khitam Jbara, King Abdullah · 2010
Machine Learning and Data Mining are applied to language datasets in order to discover patterns for English and other European languages, Arabic language belongs to the Semitic family of languages, which differs from European languages in syntax, semantic and morphology. One of the difficulties in Arabic language is that it has a complex morphological structure and orthographic variations. This study is conducted to examine knowledge discovery from AL-Hadith through classification algorithm in order to classify AL-Hadith to one of predefined classes (books), where AL-Hadith is the saying of Prophet Mohammed (Peace and blessings of Allah be upon him (PBUH)) and the second religious source for all Muslims, and because of its importance for Muslims all over the word knowledge discovery from AL-Hadith will make AL-Hadith more understandable for both Muslims and nonmuslims.