<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Multi-label Sentiment Classification of 2024 Indonesian Presidential Election Comments in YouTube Channel</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/X7FPFW</dcterms:identifier><dcterms:creator>Pramesti, Dita</dcterms:creator><dcterms:creator>Fakhrurroja, Hanif</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2024-09-24</dcterms:issued><dcterms:modified>2024-09-24T08:45:32Z</dcterms:modified><dcterms:description>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.</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:subject>sentiment analysis, deep learning, multilabel classification</dcterms:subject><dcterms:isReferencedBy>A. N. Ma’Aly, D. Pramesti and H. Fakhrurroja, "Comparative Analysis of Deep Learning Models for Multi-label Sentiment Classification of 2024 Presidential Election Comments," 2024 7th International Conference on Informatics and Computational Sciences (ICICoS), Semarang, Indonesia, 2024, pp. 502-507, doi: 10.1109/ICICoS62600.2024.10636889., doi, https://doi.org/10.1109/ICICoS62600.2024.10636889</dcterms:isReferencedBy><dcterms:contributor>PRAMESTI, DITA</dcterms:contributor><dcterms:dateSubmitted>2024-09-24</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>