Social Media Mining to Study Social User Group by Visualizing Tweet Clusters using Word2Vec, PCA and K-Means. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Matthias_L._Hemmje>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Md_Morshed_Jaman_Adnan>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Michael_A._Kaufmann>
foaf:homepage	<https://ceur-ws.org/Vol-2863/paper-05.pdf>
dc:identifier	DBLP conf/chiir/AdnanHK21 (xsd:string)
dcterms:issued	2021 (xsd:gYear)
rdfs:label	Social Media Mining to Study Social User Group by Visualizing Tweet Clusters using Word2Vec, PCA and K-Means. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Matthias_L._Hemmje>
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Michael_A._Kaufmann>
swrc:pages	40-51 (xsd:string)
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rdfs:seeAlso	<https://ceur-ws.org/Vol-2863/paper-05.pdf>
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dc:title	Social Media Mining to Study Social User Group by Visualizing Tweet Clusters using Word2Vec, PCA and K-Means. (xsd:string)
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