Building Related Words for Quran Vocabulary Based on Distributional Similarity

Fedy Fahron Guntara, Fedy Fahron Guntara and Moch. Arif Bijaksana, Moch. Arif Bijaksana and Arief Fatchul Huda, Arief Fatchul Huda (2020) Building Related Words for Quran Vocabulary Based on Distributional Similarity. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 6 (2). pp. 139-146. ISSN ISSN 2407, E-ISSN 2503-2933

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Abstract

The Quran is the Muslim holy book that contains so many words in it. This makes it difficult for ordinary people to find connections between words in the Quran. For example like the word مَّعْرُوف which has a connection with the word عَفَا because in the Quran the two words are often in one verse and also the two words have a connection in the meaning of forgiving is one of the good deeds. At present, there is no dictionary, encyclopedia or thesaurus in the vocabulary of the Quran that explains the interrelationships of words in the Quran. Therefore this study will discuss a connection with the words in the Qur'an and to further assist in finding the interrelations between verses. The method used in this study is a method with a distribution-based equality approach based on Continuous Bag of Word (CBOW). The use of the CBOW method produces a precision value of 98% based on the results of the system output with the correction from linguists

Item Type:	Article
Uncontrolled Keywords:	Quran, cosine-similarity, word2vec, precision
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Ni Made Yunia Dwi Savitri
Date Deposited:	17 Nov 2022 01:34
Last Modified:	17 Nov 2022 01:34
URI:	http://eprints.triatmamulya.ac.id/id/eprint/1772

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