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Hot topic detection and evaluation of multi-relation effect:
, In:
Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
,
Zirbilek, Nadir Emre
;
Erakin, Mustafa
;
Özyer, Tansel
. - p. 416-422 , 2021
Link:
https://dl.acm.org/doi/10.1145/3487351.3490972
RT T1 <cTitle>Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining</cTitle>: T1 <Title>Hot topic detection and evaluation of multi-relation effects</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3490972&Exemplar=1&LAN=DE A1 Zirbilek, Nadir Emre A1 Erakin, Mustafa A1 Özyer, Tansel A1 Alhajj, Reda PB ACM YR 2021 K1 hot topic detection K1 multi-relations K1 social media K1 tweeter K1 Information systems K1 Information systems applications K1 Data mining K1 Information retrieval K1 Document representation K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Human-centered computing K1 Human computer interaction (HCI) K1 Interaction paradigms K1 Web-based interaction SP 416 OP 422 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3487351.3490972 DO https://dl.acm.org/doi/10.1145/3487351.3490972 SF ELIB - SuUB Bremen
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