Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models

Aysenur Topbas; Akhtar Jamil; Alaa Ali Hameed; Syed Muzafar Ali; Sibghatullah Bazai; Syed Attique Shah

doi:10.1109/ICECube53880.2021.9628315

Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models

Aysenur Topbas, Akhtar Jamil, Alaa Ali Hameed, Syed Muzafar Ali, Sibghatullah Bazai, Syed Attique Shah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (SciVal)

Original language	English
Title of host publication	2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665401548
DOIs	https://doi.org/10.1109/ICECube53880.2021.9628315
Publication status	Published (VoR) - 2021
Event	2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Quetta, Pakistan Duration: 26 Nov 2021 → 27 Nov 2021

Publication series

Name	2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings

Conference

Conference	2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021
Country/Territory	Pakistan
City	Quetta
Period	26/11/21 → 27/11/21

Keywords

BERT
COVID-19
Deep Learning
Recurrent Neural Networks (RNN)
Sentiment Analysis
Tweets

Access to Document

10.1109/ICECube53880.2021.9628315

Cite this

Topbas, A., Jamil, A., Hameed, A. A., Ali, S. M., Bazai, S., & Shah, S. A. (2021). Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models. In 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings (2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECube53880.2021.9628315

Topbas, Aysenur ; Jamil, Akhtar ; Hameed, Alaa Ali et al. / Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models. 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings).

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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 = "Aysenur Topbas 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.",

booktitle = "2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings",

}

Topbas, A, Jamil, A, Hameed, AA, Ali, SM, Bazai, S & Shah, SA 2021, Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models. in 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings. 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021, Quetta, Pakistan, 26/11/21. https://doi.org/10.1109/ICECube53880.2021.9628315

Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models. / Topbas, Aysenur; Jamil, Akhtar; Hameed, Alaa Ali et al.
2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models

AU - Topbas, Aysenur

AU - Jamil, Akhtar

AU - Hameed, Alaa Ali

AU - Ali, Syed Muzafar

AU - Bazai, Sibghatullah

AU - Shah, Syed Attique

N1 - 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: © 2021 IEEE.

PY - 2021

Y1 - 2021

KW - BERT

KW - COVID-19

KW - Deep Learning

KW - Recurrent Neural Networks (RNN)

KW - Sentiment Analysis

KW - Tweets

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U2 - 10.1109/ICECube53880.2021.9628315

DO - 10.1109/ICECube53880.2021.9628315

M3 - Conference contribution

AN - SCOPUS:85123781865

T3 - 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings

BT - 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021

Y2 - 26 November 2021 through 27 November 2021

ER -

Topbas A, Jamil A, Hameed AA, Ali SM, Bazai S, Shah SA. Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models. In 2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings). doi: 10.1109/ICECube53880.2021.9628315

Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models

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