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    <identifier identifierType="DOI">10.34820/FK2/X7FPFW</identifier>
    <creators><creator><creatorName>Pramesti, Dita</creatorName><affiliation>(FRI - DEST)</affiliation></creator><creator><creatorName>Fakhrurroja, Hanif</creatorName><affiliation>(FRI - DEST)</affiliation></creator></creators>
    <titles>
        <title>Multi-label Sentiment Classification of 2024 Indonesian Presidential Election Comments in YouTube Channel</title>
    </titles>
    <publisher>Telkom University Dataverse</publisher>
    <publicationYear>2024</publicationYear>
    <resourceType resourceTypeGeneral="Dataset"/>
    <relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34820/FK2/X7FPFW/TLLKJT</relatedIdentifier><relatedIdentifier relatedIdentifierType="DOI" relationType="HasPart">doi:10.34820/FK2/X7FPFW/1BNP8D</relatedIdentifier></relatedIdentifiers>
    <descriptions>
        <description descriptionType="Abstract">This study evaluates the effectiveness of various deep learning architectures in multi-label sentiment classification of YouTube comments related to the 2024 Indonesian presidential election. The dataset includes comments from debate videos featuring candidates Anies Baswedan, Prabowo Subianto, and Ganjar Pranowo.</description>
    </descriptions>
    <contributors><contributor contributorType="ContactPerson"><contributorName>Pramesti, Dita</contributorName><affiliation>(FRI - DEST)</affiliation></contributor></contributors>
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