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Part 1: Document Description
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Citation |
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Title: |
Indonesian Translation of the Hadith of Bukhari (Multi-label) |
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Identification Number: |
doi:10.34820/FK2/HDQ1OJ |
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Distributor: |
Telkom University Dataverse |
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Date of Distribution: |
2023-10-05 |
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Version: |
1 |
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Bibliographic Citation: |
Adiwijaya, Adiwijaya; Al-Faraby, Said, 2023, "Indonesian Translation of the Hadith of Bukhari (Multi-label)", https://doi.org/10.34820/FK2/HDQ1OJ, Telkom University Dataverse, V1 |
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Citation |
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Title: |
Indonesian Translation of the Hadith of Bukhari (Multi-label) |
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Identification Number: |
doi:10.34820/FK2/HDQ1OJ |
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Authoring Entity: |
Adiwijaya, Adiwijaya (Fakultas Informatika, Data Science) |
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Al-Faraby, Said (Fakultas Informatika, Data Science) |
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Distributor: |
Telkom University Dataverse |
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Access Authority: |
Adiwijaya, Adiwijaya |
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Depositor: |
Adiwijaya, Adiwijaya |
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Date of Deposit: |
2021-03-07 |
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Study Scope |
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Keywords: |
Computer and Information Science, Social Sciences, Text Data, Hadith Data |
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Abstract: |
This dataset contains the Indonesian translation of the hadith of Bukhari in the text representation. Each text in the dataset has been categorized into Anjuran (suggestion), Larangan (prohibition), and/or Informasi (information) classes, which are validated by a hadith expert. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Related Studies |
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Indonesian Translation of the Hadith of Bukhari (Single-label) |
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Related Publications |
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Citation |
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Identification Number: |
10.1109/IALP.2018.8629263 |
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Bibliographic Citation: |
M. Y. Abu Bakar, Adiwijaya and S. A. Faraby, "Multi-Label Topic Classification of Hadith of Bukhari (Indonesian Language Translation)Using Information Gain and Backpropagation Neural Network," 2018 International Conference on Asian Language Processing (IALP), 2018, pp. 344-350 |
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Citation |
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Identification Number: |
http://dx.doi.org/10.18517/ijaseit.9.4.8894 |
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Bibliographic Citation: |
Mediamer, G. and Adiwijaya, F., SA (2019).“Development of Rule-Based Feature Extraction in Multi-label Text Classification”. International Journal on Advanced Science, Engineering and Information Technology, 9(4), pp.1460-1465 |
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Label: |
data_testing.csv |
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Notes: |
text/csv |
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Label: |
data_training.csv |
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Notes: |
text/csv |