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SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentim..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Islam, Md. Ekramul
;
Chowdhury, Labib
;
Khan, Faisal Ahamed
... - p. 4207-4218 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599904
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and Its Evaluation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599904&Exemplar=1&LAN=DE A1 Islam, Md. Ekramul A1 Chowdhury, Labib A1 Khan, Faisal Ahamed A1 Hossain, Shazzad A1 Hossain, Md Sourave A1 Rashid, Mohammad Mamun Or A1 Mohammed, Nabeel A1 Amin, Mohammad Ruhul PB ACM YR 2023 K1 annotation scheme K1 bangla natural language processing K1 gold standard dataset. K1 linguistic framework K1 sentiment analysis K1 Computing methodologies K1 Artificial intelligence K1 Natural language processing K1 Language resources SP 4207 OP 4218 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599904 DO https://dl.acm.org/doi/10.1145/3580305.3599904 SF ELIB - SuUB Bremen
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