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Transfer learning approach for detecting psychological dist..:
, In:
Proceedings of the 36th Annual ACM Symposium on Applied Computing
,
Palicki, Sean-Kelly
;
Fouad, Shereen
;
Adedoyin-Olowe, Mariam
. - p. 967-975 , 2021
Link:
https://dl.acm.org/doi/10.1145/3412841.3441972
RT T1 <cTitle>Proceedings of the 36th Annual ACM Symposium on Applied Computing</cTitle>: T1 <Title>Transfer learning approach for detecting psychological distress in brexit tweets</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3441972&Exemplar=1&LAN=DE A1 Palicki, Sean-Kelly A1 Fouad, Shereen A1 Adedoyin-Olowe, Mariam A1 Abdallah, Zahraa S. PB ACM YR 2021 K1 brexit K1 psychological distress K1 sentiment analysis K1 social media analytics K1 transfer learning K1 Applied computing K1 Law, social and behavioral sciences K1 Psychology K1 Information systems K1 Information systems applications K1 Decision support systems K1 Data analytics K1 Collaborative and social computing systems and tools K1 Social networking sites K1 Information retrieval K1 Retrieval tasks and goals K1 Sentiment analysis SP 967 OP 975 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3412841.3441972 DO https://dl.acm.org/doi/10.1145/3412841.3441972 SF ELIB - SuUB Bremen
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