Transfer learning approach for detecting psychological distress in brexit tweets

Sean Kelly Palicki, Shereen Fouad, Mariam Adedoyin-Olowe, Zahraa S. Abdallah

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)
    Original languageEnglish
    Title of host publicationProceedings of the 36th Annual ACM Symposium on Applied Computing, SAC 2021
    PublisherAssociation for Computing Machinery
    Pages967-975
    Number of pages9
    ISBN (Electronic)9781450381048
    DOIs
    Publication statusPublished (VoR) - 22 Mar 2021
    Event36th Annual ACM Symposium on Applied Computing, SAC 2021 - Virtual, Online, Korea, Republic of
    Duration: 22 Mar 202126 Mar 2021

    Publication series

    NameProceedings of the ACM Symposium on Applied Computing

    Conference

    Conference36th Annual ACM Symposium on Applied Computing, SAC 2021
    Country/TerritoryKorea, Republic of
    CityVirtual, Online
    Period22/03/2126/03/21

    Keywords

    • brexit
    • psychological distress
    • sentiment analysis
    • social media analytics
    • transfer learning

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