Multi-label Sentiment Classification of 2024 Indonesian Presidential Election Comments in YouTube Channeldoi:10.34820/FK2/X7FPFWTelkom University Dataverse2024-09-241Pramesti, Dita; Fakhrurroja, Hanif, 2024, "Multi-label Sentiment Classification of 2024 Indonesian Presidential Election Comments in YouTube Channel", https://doi.org/10.34820/FK2/X7FPFW, Telkom University Dataverse, V1, UNF:6:6iJAznzw+knPzH7cNpI2YQ== [fileUNF]Multi-label Sentiment Classification of 2024 Indonesian Presidential Election Comments in YouTube Channeldoi:10.34820/FK2/X7FPFWPramesti, DitaFakhrurroja, HanifTelkom University DataversePramesti, DitaPRAMESTI, DITA2024-09-24Computer and Information Sciencesentiment analysis, deep learning, multilabel classificationThis 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.CC0 WaiverA. 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.FINAL Praprocessing and Labelling Data.tab3201413text/tab-separated-valuesUNF:6:6iJAznzw+knPzH7cNpI2YQ==commentID10496.9483224521770.0.18267.0039670122970.032014.036202.018289.5UNF:6:hKC7+UW8N7RZNaIcBVt0Ng==formaltextUNF:6:zfZkpqPDqna+tSot2t/yfg==anger1.00.0.0.2404260635971820232014.00.42734889275715210.00.0UNF:6:5P0Zgb0SrjiZh1JETu/Dzg==anticipation0.00.04804148185168791.0.213857257217554440.032014.00.01.0UNF:6:QHDEBgu/zzN20OkpDOn25w==disgust0.26800774661089330.032014.00.0.1.00.44292857493075920.0UNF:6:JiEHvCxAKEuSqmvh6nKNqA==fear.0.25239453632203411.00.00.00.0683763353532815132014.00.0UNF:6:oBBdgRpeK77AzkNJAtXq0g==joy.1.00.032014.00.37068157681013530.00.00.48299485748991644UNF:6:d5nnobY3rsrKMwTxD3D0ag==sadness0.23633873839973270.059380271131384260.01.00.00.0.32014.0UNF:6:U6cQRQdOq+Xot8jwcKq0gg==surprise0.032014.00.089023552195904050.00.28478218456374390.01.0.UNF:6:Y1Cg9A29NqbiS6qTtyrJUA==trust0.485484078858052450.3803648403823502.0.01.00.032014.00.0UNF:6:3OiaxMqMc25U+qcDQvaIxQ==anies1.00.00.00.00.455498466558085732014.0.0.29377772224652776UNF:6:Ge68b7cb7BiJGKGxmNIf+g==prabowo0.432594821690096330.00.01.00.0.0.2492659461485571332014.0UNF:6:6diCz7h5M+gVImxbj/pr2g==ganjar32014.00.01.00.00.092459548947335130.00.28967810048893017.UNF:6:X5KGGhm5N31a48Jme7b53g==Original Dataset Sentiment.xlsxapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheet