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1 Ergebnisse
1
A Hybrid BiLSTM-ATT Model for Improved Accuracy Sentiment A..:
, In:
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
,
Dang, Lanxue
;
Wang, Chunyu
;
Han, Hongyu
. - p. 2182-2188 , 2022
Link:
https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57..
RT T1 <cTitle>2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)</cTitle>: T1 <Title>A Hybrid BiLSTM-ATT Model for Improved Accuracy Sentiment Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10074634&Exemplar=1&LAN=DE A1 Dang, Lanxue A1 Wang, Chunyu A1 Han, Hongyu A1 Hou, Yan-E YR 2022 K1 Deep learning K1 Analytical models K1 Sentiment analysis K1 Semantics K1 Feature extraction K1 Motion pictures K1 Data models K1 Sentiment Analysis K1 BiLSTM K1 Natural language processing SP 2182 OP 2188 LK http://dx.doi.org/https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00323 DO https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00323 SF ELIB - SuUB Bremen
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