Abstract
Hadith is the second source of reference for Islamic law after the Qur'an, which explains the sentences in the Qur'an which are still global by referring to the provisions of the Prophet Muhammad SAW. Classification of text documents can also be used to overcome the problem of interrelation between the Qur'an and hadith. The problem of interrelation between books of hadith needs to be done because some hadiths in certain hadith books have the same meaning as other hadith books. This study aims to analyze the development of text representation and classification methods suitable to overcome similarity meaning problems in detecting interrelationships between hadith books. The research method used is Systematic Literature Review (SLR) sourced from Google Scholar, Science Direct, and IEEE. There are 42 pieces of literature that have been studied successfully. The results showed that contextual embedding as the newest text representation method considered word context and sentence meaning better than static embedding. As a classification method, the ensemble method has better performance in classifying text documents than using only a single classifier model. Thus, future research can consider using a combination of contextual embedding and ensemble methods to detect interrelationships between books of hadith.
Highlights
Hadith is the second source of reference for Islamic law after the Qur'an, which explains the sentences in the Qur'an which are still global by referring to the provisions of the Prophet Muhammad SAW
This study aims to analyze the development of text representation and classification methods suitable to overcome similarity meaning problems in detecting interrelationships between hadith books
The results showed that contextual embedding as the newest text representation method considered word context and sentence meaning better than static embedding
Summary
Detail Aplikasi software Arabic text classification, Arabic text categorization dan word embedding Tidak ada Menganalisis dan mengevaluasi metode untuk merepresentasikan teks dan metode klasifikasi dalam Arabic natural language processing yang dapat digunakan untuk mendeteksi interelasi antar kitab hadis. Tabel 4 menjelaskan kriteria pertanyaan untuk penilaian kualitas yang ditetapkan pada penelitian ini. Setelah dilakukan proses inklusi/eksklusi dan penilaian kualitas didapatkan sebanyak 42 literatur yang memenuhi penilaian kualitas karena telah menjawab semua poin penting pada kriteria pertanyaan penilaian kualitas literatur. Dari 42 literatur tersebut juga relevan dengan tujuan penelitian ini sehingga dapat digunakan untuk tahap pelaporan hasil. Arabic natural language processing dan menganalisis metode representasi teks yang cocok untuk mendeteksi interelasi antar kitab hadis. Natural language processing dan menganalisis metode klasifikasi yang cocok untuk mendeteksi interelasi antar kitab hadis
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