A comparison of Neural Network and SVM on the multi-label classification of Quran verses topic in English translation

Author:

Nurfikri Fahmi Salman,Adiwijaya

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Centrality-Based Multilabel Neural Networks Classification of Qur'an Verse Topics;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

2. Semantic Feature Analysis for Multi-Label Text Classification on Topics of the Al-Quran Verses;J INF PROCESS SYST;2024

3. Sentiment Analysis of the Indonesia Presidential Election 2024 with Ensemble Learning for Reducing Disinformation on Social Media;2023 11th International Conference on Information and Communication Technology (ICoICT);2023-08-23

4. The Best Problem Transformation Method in Multi-Label Classification Text for Thesis Abstract;2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2022-12-13

5. Topic Classification of Islamic Consultation Question and Answer Using Supervised Learning;2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS);2021-10-13

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