<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.34820/FK2/X7FPFW</identifier><creators><creator><creatorName nameType="Personal">Pramesti, Dita</creatorName><givenName>Dita</givenName><familyName>Pramesti</familyName><nameIdentifier nameIdentifierScheme="ScopusID">57219651379</nameIdentifier><affiliation>FRI - DEST</affiliation></creator><creator><creatorName nameType="Personal">Fakhrurroja, Hanif</creatorName><givenName>Hanif</givenName><familyName>Fakhrurroja</familyName><nameIdentifier nameIdentifierScheme="ScopusID">55869180100</nameIdentifier><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><subjects><subject>Computer and Information Science</subject><subject>sentiment analysis, deep learning, multilabel classification</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Pramesti, Dita</contributorName><givenName>Dita</givenName><familyName>Pramesti</familyName><affiliation>FRI - DEST</affiliation></contributor></contributors><dates><date dateType="Submitted">2024-09-24</date><date dateType="Updated">2024-09-24</date></dates><resourceType resourceTypeGeneral="Dataset"/><relatedIdentifiers/><sizes><size>5261144</size><size>4105424</size></sizes><formats><format>text/tab-separated-values</format><format>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="https://creativecommons.org/publicdomain/zero/1.0/">CC0 Waiver</rights></rightsList><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><geoLocations/></resource>