An Ensemble Multi-label Themes-Based Classification for Holy Qur’an Verses Using Word2Vec Embedding-Reference-Cited by-同舟云学术

An Ensemble Multi-label Themes-Based Classification for Holy Qur’an Verses Using Word2Vec Embedding

Published:2021-01-03 Issue:4 Volume:46 Page:3519-3529
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Mohamed Ensaf Hussein^ORCID,El-Behaidy Wessam H.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s13369-020-05184-0.pdf

Reference41 articles.

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2. Ta’A, A.; Abdullah, M.S.; Ali, A.B.M.; Ahmad, M.: Themes-based classification for Al-Quran knowledge ontology. In: Int. Conf. ICT Converg., pp. 89–94, 2014, https://doi.org/10.1109/ictc.2014.6983090

3. Abbas, N.: Quran’ search for a Concept’ Tool and Website. Unpubl. Diss. Leed, no. July 2009, pp. 1–170, 2009. http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Quran+?Search+for+a+Concept?+Tool+and+Website#0

4. Nurfikri, F.S.; Adiwijaya, : A comparison of Neural Network and SVM on the multi-label classification of Quran verses topic in English translation. J. Phys.: Conf. Ser. 1192, 12030 (2019). https://doi.org/10.1088/1742-6596/1192/1/012030

5. Pane, R.A.; Mubarok, M.S.; Huda, N.S.: A Multi-lable Classification on Topics of Quranic Verses in English Translation using Multinomial Naive Bayes. 2019, 2018, https://doi.org/10.1109/icoict.2018.8528777

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