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 proceedingConference contributionpeer-review

    12 Citations (SciVal)
    Original languageEnglish
    Title of host publication2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781665401548
    DOIs
    Publication statusPublished (VoR) - 2021
    Event2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Quetta, Pakistan
    Duration: 26 Nov 202127 Nov 2021

    Publication series

    Name2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021 - Proceedings

    Conference

    Conference2021 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2021
    Country/TerritoryPakistan
    CityQuetta
    Period26/11/2127/11/21

    Keywords

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

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