@prefix epid: .
@prefix void: .
@prefix xsd: .
@prefix cc: .
@prefix ep: .
@prefix eprel: .
@prefix dc: .
@prefix bibo: .
@prefix geo: .
@prefix owl: .
@prefix event: .
@prefix skos: .
@prefix foaf: .
@prefix rdfs: .
@prefix rdf: .
@prefix dct: .
<>
foaf:primaryTopic ;
rdfs:comment "The repository administrator has not yet configured an RDF license."^^xsd:string .
dct:hasPart ;
ep:hasFile ;
rdf:type bibo:Document,
ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Text)"^^xsd:string .
rdf:type bibo:Document,
ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Text)"^^xsd:string .
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
eprel:islightboxThumbnailVersionOf ;
rdf:type ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Other)"^^xsd:string .
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
eprel:ispreviewThumbnailVersionOf ;
rdf:type ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Other)"^^xsd:string .
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
eprel:ismediumThumbnailVersionOf ;
rdf:type ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Other)"^^xsd:string .
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
eprel:issmallThumbnailVersionOf ;
rdf:type ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Other)"^^xsd:string .
dct:hasPart ;
ep:hasFile ;
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
eprel:islightboxThumbnailVersionOf ;
rdf:type ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Other)"^^xsd:string .
dct:hasPart ;
ep:hasFile ;
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
eprel:ispreviewThumbnailVersionOf ;
rdf:type ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Other)"^^xsd:string .
dct:hasPart ;
ep:hasFile ;
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
eprel:ismediumThumbnailVersionOf ;
rdf:type ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Other)"^^xsd:string .
dct:hasPart ;
ep:hasFile ;
eprel:isVersionOf ;
eprel:isVolatileVersionOf ;
eprel:issmallThumbnailVersionOf ;
rdf:type ep:Document;
rdfs:label "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\") (Other)"^^xsd:string .
rdf:_1 .
bibo:abstract "YouTube comments are unstructured textual data that contain diverse public\r\nopinions and require a classification algorithm capable of effectively handling highdimensional\r\ntext data. This study aims to compare the performance of linear,\r\npolynomial, and Radial Basis Function (RBF) kernels in the Support Vector\r\nMachine (SVM) algorithm for sentiment classification of comments on the Malaka\r\nProject YouTube channel. The dataset was collected through scraping using the\r\nYouTube Data API v3 from a video entitled “The Dark Business of Doctors and\r\nPharmaceutical Companies,” resulting in 3,428 comments collected in December\r\n2025. The data were classified into three sentiment categories: positive, negative,\r\nand neutral. The research procedure consisted of data preprocessing, sentiment\r\nlabeling using the InSet Lexicon dictionary, data splitting with an 80:20 ratio,\r\nfeature extraction using TF-IDF, classification using a multiclass SVM algorithm\r\nwith the One-Against-All (OvR) approach, and model evaluation using accuracy,\r\nprecision, recall, F1-score, and confusion matrix metrics. The results show that the\r\nlinear and RBF kernels achieved the same accuracy score of 0.73, while the\r\npolynomial kernel obtained a lower accuracy score of 0.60. However, the linear\r\nkernel achieved the highest precision and F1-score of 0.77 for the positive sentiment\r\nclass. Therefore, it can be concluded that the linear kernel performs better in\r\nclassifying sentiment in Malaka Project YouTube comments compared to the other\r\ntwo kernels."^^xsd:string;
bibo:authorList ;
bibo:status ;
dc:hasVersion ,
;
dct:creator ;
dct:date "2026-06-03";
dct:isPartOf ;
dct:issuer ,
;
dct:subject ;
dct:title "KLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\")"^^xsd:string;
ep:hasDocument ,
,
,
,
,
,
,
,
,
;
ep:hasPublished ,
;
rdf:type bibo:Article,
bibo:Thesis,
ep:EPrint,
ep:ThesisEPrint;
rdfs:seeAlso .
rdf:type skos:Concept;
skos:prefLabel "515.6 Metode Analitik - Matematika" .
rdfs:label "22106010007_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf"^^xsd:string .
rdfs:label "lightbox.jpg"^^xsd:string .
rdfs:label "preview.jpg"^^xsd:string .
rdfs:label "medium.jpg"^^xsd:string .
rdfs:label "small.jpg"^^xsd:string .
dc:format "text/html";
dc:title "HTML Summary of #76835 \n\nKLASIFIKASI SENTIMEN KOMENTAR YOUTUBE MALAKA PROJECT MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) (STUDI KASUS: VIDEO \"BISNIS GELAP DOKTER & PERUSAHAAN FARMASI\")\n\n";
foaf:primaryTopic .
dct:hasPart ;
foaf:name "UIN SUNAN KALIJAGA YOGYAKARTA"^^xsd:string;
rdf:type foaf:Organization .
dct:isPartOf ;
foaf:name "FAKULTAS SAINS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA"^^xsd:string;
rdf:type foaf:Organization .
foaf:familyName "Laila Rohmatul I’zzah"^^xsd:string;
foaf:givenName "NIM.: 22106010007"^^xsd:string;
foaf:name "NIM.: 22106010007 Laila Rohmatul I’zzah"^^xsd:string;
rdf:type foaf:Person .