A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter. [PDF]
PeerJ Comput SciAslan S, Yildirim M.
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Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis. [PDF]
J Public Health (Berl), 2023 Che S, Wang X, Zhang S, Kim JH.
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Evaluation of adjective and adverb types for effective Twitter sentiment classification. [PDF]
PLoS OneAli SF, Masood N.
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Sentiment classification for insider threat identification using metaheuristic optimized machine learning classifiers. [PDF]
Sci RepMladenovic D +7 more
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Domain adaptive learning for multi realm sentiment classification on big data. [PDF]
PLoS OneIjaz M +5 more
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Chinese text dual attention network for aspect-level sentiment classification. [PDF]
PLoS OneSun X, Liu Z, Li H, Ying F, Tao Y.
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Position-Enhanced Multi-Head Self-Attention Based Bidirectional Gated Recurrent Unit for Aspect-Level Sentiment Classification. [PDF]
Front Psychol, 2021 Li X, Ding L, Du Y, Fan Y, Shen F.
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COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets. [PDF]
Int J Environ Res Public Health, 2023 Qorib M +4 more
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Analyzing digital societal interactions and sentiment classification in Twitter (X) during critical events in Chile. [PDF]
HeliyonHenríquez PA, Alessandri F.
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Modeling Structured Dependency Tree with Graph Convolutional Networks for Aspect-Level Sentiment Classification. [PDF]
Sensors (Basel)Zhao Q, Yang F, An D, Lian J.
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