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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/cstat/WeisserGTPRKS23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Andre_Python>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Anton_Thielmann>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Arik_Reuter>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Benjamin_S%E2%88%9A%C2%A7fken>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Christoph_Gerloff>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Christoph_Weisser>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Thomas_Kneib>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2Fs00180-022-01246-z>
foaf:homepage <https://doi.org/10.1007/s00180-022-01246-z>
dc:identifier DBLP journals/cstat/WeisserGTPRKS23 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2Fs00180-022-01246-z (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/cstat>
rdfs:label Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Andre_Python>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Anton_Thielmann>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Arik_Reuter>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Benjamin_S%E2%88%9A%C2%A7fken>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Christoph_Gerloff>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Christoph_Weisser>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Thomas_Kneib>
swrc:month June (xsd:string)
swrc:number 2 (xsd:string)
swrc:pages 647-674 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/cstat/WeisserGTPRKS23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/cstat/WeisserGTPRKS23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/cstat/cstat38.html#WeisserGTPRKS23>
rdfs:seeAlso <https://doi.org/10.1007/s00180-022-01246-z>
dc:title Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 38 (xsd:string)