Discovering popular and persistent tags from YouTube trending video big dataset

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dc.authoridDokuz, Yesim/0000-0001-7202-2899
dc.contributor.authorDokuz, Yesim
dc.date.accessioned2024-11-07T13:24:54Z
dc.date.available2024-11-07T13:24:54Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractYouTube is the most popular video content platform which provides easy and fast accessibility, huge number of videos, qualified and large number of content producers, and wide range of users. Based on these advantages, YouTube datasets have a big data nature in terms of data analytics. Analyzing YouTube big datasets is essential for discovering user-video relations, video recommendation, semantic analysis of video comments and trending videos analysis. However, YouTube big data analysis has several challenges, such as video content issues, textual and semantic challenges, different metadata information about videos, and big data nature of YouTube datasets. In the literature, several studies are performed for sentiment analysis of YouTube video comments, video recommendation methods, and trending video analyses approaches. In this study, a new method is proposed for popular and persistent tags discovery which uses YouTube trending video dataset of United States for the year of 2021. A new algorithm is proposed, named as Popular and Persistent Tag Discovery algorithm (PPTagD algorithm), which uses proposed method. The proposed algorithm is experimentally evaluated on the dataset. The experimental results show the effectiveness of the proposed algorithm on discovering popular and persistent tags. The results reveal the tendency of United States YouTube users in terms of video tag popularity.
dc.identifier.doi10.1007/s11042-023-16019-z
dc.identifier.endpage10797
dc.identifier.issn1380-7501
dc.identifier.issn1573-7721
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85163182219
dc.identifier.scopusqualityQ1
dc.identifier.startpage10779
dc.identifier.urihttps://doi.org/10.1007/s11042-023-16019-z
dc.identifier.urihttps://hdl.handle.net/11480/14363
dc.identifier.volume83
dc.identifier.wosWOS:001019903000010
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofMultimedia Tools and Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectTrending video analysis
dc.subjectVideo tag analysis
dc.subjectPopular and persistent tag discovery
dc.subjectYouTube big data analytics
dc.titleDiscovering popular and persistent tags from YouTube trending video big dataset
dc.typeArticle

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