Sentiment Analysis for Women in STEM using Twitter and Transfer Learning Models

Shereen Fouad*, Ezzaldin Alkooheji

*Corresponding author for this work

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

    2 Citations (SciVal)
    Original languageEnglish
    Title of host publicationProceedings - 17th IEEE International Conference on Semantic Computing, ICSC 2023
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages227-234
    Number of pages8
    ISBN (Electronic)9781665482639
    DOIs
    Publication statusPublished (VoR) - 2023
    Event17th IEEE International Conference on Semantic Computing, ICSC 2023 - Virtual, Online, United States
    Duration: 1 Feb 20233 Feb 2023

    Publication series

    NameProceedings - 17th IEEE International Conference on Semantic Computing, ICSC 2023

    Conference

    Conference17th IEEE International Conference on Semantic Computing, ICSC 2023
    Country/TerritoryUnited States
    CityVirtual, Online
    Period1/02/233/02/23

    Keywords

    • Deep Learning
    • Machine Learning
    • Natural Language Processing
    • Sentiment Analysis
    • Transformers
    • Twitter
    • Women In STEM

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