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Social Media Trends Analysis using the Bi-LSTM with Multi-H..:
, In:
2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
,
Ati, Modafar
;
Khan, Muhammad Usman Ghani
;
Kiran, Isha
- p. 295-299 , 2022
Link:
https://doi.org/10.1109/ICECTA57148.2022.9990328
RT T1 <cTitle>2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)</cTitle>: T1 <Title>Social Media Trends Analysis using the Bi-LSTM with Multi-Head Attention</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9990328&Exemplar=1&LAN=DE A1 Ati, Modafar A1 Khan, Muhammad Usman Ghani A1 Kiran, Isha YR 2022 K1 Measurement K1 Sentiment analysis K1 Analytical models K1 Recurrent neural networks K1 Social networking (online) K1 Blogs K1 Semantics K1 Social Media Trend K1 Bi-LSTM K1 Multi-Head Attention Classification SP 295 OP 299 LK http://dx.doi.org/https://doi.org/10.1109/ICECTA57148.2022.9990328 DO https://doi.org/10.1109/ICECTA57148.2022.9990328 SF ELIB - SuUB Bremen
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