Business intelligence using deep learning techniques for social media contents.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/cluster/KananMAAES23
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dcterms:
bibliographicCitation
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http://dblp.uni-trier.de/rec/bibtex/journals/cluster/KananMAAES23
>
dc:
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https://dblp.l3s.de/d2r/resource/authors/Mahmoud_Al-Ayyoub
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https://dblp.l3s.de/d2r/resource/authors/Mohammad_W._Elbes
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foaf:
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http://dx.doi.org/doi.org%2F10.1007%2Fs10586-022-03626-y
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identifier
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dcterms:
issued
2023
(xsd:gYear)
swrc:
journal
<
https://dblp.l3s.de/d2r/resource/journals/cluster
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rdfs:
label
Business intelligence using deep learning techniques for social media contents.
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foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Ala_Mughaid
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foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Mahmoud_Al-Ayyoub
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foaf:
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<
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foaf:
maker
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swrc:
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April
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swrc:
number
2
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swrc:
pages
1285-1296
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rdfs:
seeAlso
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http://dblp.uni-trier.de/db/journals/cluster/cluster26.html#KananMAAES23
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seeAlso
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dc:
title
Business intelligence using deep learning techniques for social media contents.
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26
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