Why Sentiment Analysis-Based Metrics are Essential for Measuring Channel Performance on YouTube: An Experimental Study

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dc.contributor.authorElbaş, Hakan
dc.contributor.authorMesri, Alparslan
dc.date.accessioned2026-02-08T15:08:18Z
dc.date.available2026-02-08T15:08:18Z
dc.date.issued2024
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractYouTube is a global social and economic platform that enables users to share videos. While many studies have conducted sentiment analyses on YouTube comments, none of these studies have focused on the necessity and potential significance of sentiment analysis-based metrics as essential or complementary tools that could serve as a \"gold standard\" for measuring the performance of both videos and channels. In this study, an experimental metric named the Sentiment Index (SI) was created to perform an experiment aimed at examining the robustness of sentiment analysis-based metrics against time parameter. To assess the degree to which this metric is affected by time parameter, a sentiment analysis experiment was conducted using VADER. The results of the experiment indicate that the Sentiment Index (SI) is influenced by time parameter to a marginal extent of 0.8%.
dc.identifier.doi10.29130/dubited.1190860
dc.identifier.endpage1100
dc.identifier.issn2148-2446
dc.identifier.issue2
dc.identifier.startpage1086
dc.identifier.trdizinid1256653
dc.identifier.urihttps://doi.org/10.29130/dubited.1190860
dc.identifier.urihttps://hdl.handle.net/20.500.12885/4928
dc.identifier.volume12
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofDüzce Üniversitesi Bilim ve Teknoloji Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260207
dc.subjectYoutube
dc.subjectSentiment analysis
dc.subjectSocial media
dc.subjectNatural language processing
dc.subjectData science
dc.subjectValence Aware Dictionary and sEntiment Reasoner (VADER)
dc.titleWhy Sentiment Analysis-Based Metrics are Essential for Measuring Channel Performance on YouTube: An Experimental Study
dc.typeArticle

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