@inproceedings{30ec58707eff4a2a9f191868d5c46d3d,
title = "Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models",
keywords = "BERT, COVID-19, Deep Learning, Recurrent Neural Networks (RNN), Sentiment Analysis, Tweets",
author = "Ay{\c s}enur Topba{\c s} and Akhtar Jamil and Hameed, {Alaa Ali} and Ali, {Syed Muzafar} and Sibghatullah Bazai and Shah, {Syed Attique}",
note = "Funding Information: The authors would like to thank Spatial Decision Support System Lab (SDSSL), BUITEMS under the National Center for GIS and Space Applications (NCGSA) for their support. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 ; Conference date: 26-11-2021 Through 27-11-2021",
year = "2021",
doi = "10.1109/ICECube53880.2021.9628315",
language = "English",
series = "2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings",
}