Thematic textual hadith classification: an experiment in rapidminer using support vector machine (SVM) and naïve bayes algorithm

• 主要な著者: Yusof, Norzihani, Rosidi, Siti Aishah Rosidi, Ibrahim, Nuzulha Khilwani Ibrahim, Ahmed Ali, Ahmed El-Mogtaba Bannga
• フォーマット: 論文
• 言語: English; English
• 出版事項: World Academy of Research in Science and Engineering 2020
• 主題: BP135 Hadith literature. Traditions. Sunna
• オンライン･アクセス: http://irep.iium.edu.my/88252/1/88252_Thematic%20textual%20hadith%20classification.pdf; http://irep.iium.edu.my/88252/2/88252_Thematic%20textual%20hadith%20classification_SCOPUS.pdf; http://irep.iium.edu.my/88252/; http://www.warse.org/IJATCSE/

There are many existing problems in Hadith studies trending in the study field. The issues are changeable from the digitalization of the Hadith data to an exact case study of estimation of narrators’ chain for a particular Hadith. However, in this paper, we are not concentrating on the such lea...