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http://dx.doi.org/10.6109/jkiice.2019.23.7.757

YouTube Channel Ranking Scheme based on Hidden Qualitative Information Analysis  

Lee, Ji Hyeon (Department of English Language and Literature, Ajou University)
Oh, Hayoung (DASAN University Colleage, Ajou University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.7, 2019 , pp. 757-763 More about this Journal
Abstract
Youtube has become so popular that it is called the age of YouTube. As the number of users and contents increase, the choice of information increases. However, it is difficult to select information that meets the needs of users. YouTube provides recommendations based on their watch list. Therefore, in this study, we want to analyze the channel of user's subject in various angles and provide the proposed scheme based on the crawled channels, measurement of the perception of channels and channel videos through quantitative data and hidden qualitative data analysis. Based on the above two data analysis, it is possible to know the recognition of the channel and the recognition of the channel video, thereby providing a ranking of the channels that deal with the topic. Finally, as a case study, we recommend English learning channels to users based on numerical data statistics and emotional analysis results to maximize flipped learning effect regardless of time and space.
Keywords
YouTube; Ranking system; Crawling; Text mining;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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