Multi-label Classification of Indonesian Al-Quran Translation based CNN, BiLSTM, and FastText

Multi-label Classification of Indonesian Al-Quran Translation based CNN, BiLSTM, and FastText

Studying the Qur'an is a pivotal act of worship in Islam, which necessitates a structured understanding of its verses to facilitate learning and referencing. Reflecting this complexity, each Quranic verse is rich with unique thematic elements and can be classified into a range of distinct categ...

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Bibliographic Details
Main Authors:	Ahmad Rofiqul Muslikh, Ismail Akbar, De Rosal Ignatius Moses Setiadi, Hussain Md Mehedul Islam
Format:	Article
Language:	Indonesian
Published:	Universitas Dian Nuswantoro 2024-02-01
Series:	Techno.Com
Subjects:	bi-lstm cnn fasttext multi-label text classification quran translation
Online Access:	https://publikasi.dinus.ac.id/index.php/technoc/article/view/9925

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