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http://dx.doi.org/10.14400/JDC.2019.17.12.255

Estimating long-term sustainability of real-time issues on portal sites  

Chong, Min-Young (Department of Food and Nutrition, Gwangju Women's University)
Publication Information
Journal of Digital Convergence / v.17, no.12, 2019 , pp. 255-260 More about this Journal
Abstract
Real-time search keywords are not only limited to search keywords that are rapidly increasing interest in real-time, but also have a limitation that they are difficult to determine the sustainability as there is a difference in ranking between portal sites. Estimating sustainability for real-time search keywords is significant in terms of overcoming these limitations and providing some predictability. In particular, long-term search keywords that last for more than a month are of high value as long-lasting social issues. Therefore, in this paper, we analyze the interest based on the ranking of the real-time search keywords and the duration based on sustained weeks, days and hours of real-time search keywords by each portal site and the integrated portal site, and then estimating sustainability based on high level of interest and duration, and present a method to derive real-time search issues with high long-term sustainability.
Keywords
Big data analysis; Real-time search keywords; Text mining; Real-time issues; Sustainability; Portal analysis;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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