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Adeleke et al., 2017 - Google Patents

Comparative analysis of text classification algorithms for automated labelling of Quranic verses

Adeleke et al., 2017

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Document ID
4223742441181682411
Author
Adeleke A
Samsudin N
Mustapha A
Nawi N
et al.
Publication year
Publication venue
Int. J. Adv. Sci. Eng. Inf. Technol

External Links

Snippet

The ultimate goal of labelling a Quranic verse is to determine its corresponding theme. However, the existing Quranic verse labelling approach is primarily depending on the availability of Quranic scholars who have expertise in Arabic language and Tafseer. In this …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
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