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http://dx.doi.org/10.15207/JKCS.2018.9.7.017

Design and Implementation of Potential Advertisement Keyword Extraction System Using SNS  

Seo, Hyun-Gon (Department of Information Communication Software, Halla University)
Park, Hee-Wan (Department of Information Communication Software, Halla University)
Publication Information
Journal of the Korea Convergence Society / v.9, no.7, 2018 , pp. 17-24 More about this Journal
Abstract
One of the major issues in big data processing is extracting keywords from internet and using them to process the necessary information. Most of the proposed keyword extraction algorithms extract keywords using search function of a large portal site. In addition, these methods extract keywords based on already posted or created documents or fixed contents. In this paper, we propose a KAES(Keyword Advertisement Extraction System) system that helps the potential shopping keyword marketing to extract issue keywords and related keywords based on dynamic instant messages such as various issues, interests, comments posted on SNS. The KAES system makes a list of specific accounts to extract keywords and related keywords that have most frequency in the SNS.
Keywords
Big data; Keyword marketing; SNS; Issue keyword; Related keyword;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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