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Fake opinion detection: how similar are crowdsourced datasets to real data? [<Journal>]
Fornaciari, Tommaso [Verfasser]; Cagnina, Leticia [Verfasser]; Rosso, Paolo [Verfasser]; Poesio, Massimo [Verfasser]
ISSN: ISSN der Vorlage: 1574-0218
Keyword: Sprache, Linguistik
URN: urn:nbn:de:101:1-2020121420365310789810
URL: http://d-nb.info/1223447790/34
https://doi.org/10.1007/s10579-020-09486-5
DNB Subject Category Language
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2
Fake Opinion Detection: How Similar are Crowdsourced Datasets to Real Data?
Fornaciari, Tommaso; Cagnina, Leticia; Rosso, Paolo. - : Springer-Verlag, 2020
BASE
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3
A survey on author profiling, deception, and irony detection for the Arabic language
BASE
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4
Detecting Deceptive Opinions: Intra and Cross-domain Classification using an Efficient Representation
Cagnina, Leticia; Rosso, Paolo. - : World Scientific, 2017
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5
An efficient Particle Swarm Optimization approach to cluster short texts
In: Information sciences. - New York, NY : Elsevier Science Inc. 265 (2014), 36-49
OLC Linguistik
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6
A Particle Swarm Optimizer to Cluster Parallel Spanish-English Short-text Corpora
Ingaramo, Diego Alejandro; Errecalde, Marcelo Luis; Cagnina, Leticia. - : CEUR Workshop Proceedings, 2011
BASE
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