Deep Learning Model for COVID-19 Sentiment Analysis on Twitter
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00354-023-00209-2.pdf
Reference46 articles.
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3. Albalawi, Y., Buckley, J., Nikolov, N.S.: Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media. J. Big Data (2021). https://doi.org/10.1186/s40537-021-00488-w
4. Alsayat, A.: Improving sentiment analysis for social media applications using an ensemble deep learning language model. Arab. J. Sci. Eng. (2022). https://doi.org/10.1007/s13369-021-06227-w
5. Canales, L., Strapparava, C., Boldrini, E., Martinez-Barco, P.: Intensional learning to efficiently build up automatically annotated emotion corpora. IEEE Trans. Affect. Comput. (2020). https://doi.org/10.1109/TAFFC.2017.2764470
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