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http://dx.doi.org/10.15207/JKCS.2019.10.6.059

Analysis of preference convergence by analyzing search words for oralcare products : Using the Google trend  

Moon, Kyung-Hui (Department of Dental Hygiene, Jinju Health College)
Kim, Jang-Mi (Department of Oral Health Graduate School of Public Health & Social Welfare Dankook University)
Publication Information
Journal of the Korea Convergence Society / v.10, no.6, 2019 , pp. 59-64 More about this Journal
Abstract
This study used the Google Trends site to analyze selection information that users expect from prominent Toothbrushes and Toothpastes through related search keywords that users wanted to obtain. From 2006 to 2018(sep), searches for Toothbrushes and Toothpastes were arranged in the order of popularity of related searched words. The total number of searches words exposed was each 25, total 325 collected. The analysis was conducted using two methods, first, by search function. second, by a word network using a Big Data program. The study has shown that toothbrushes there are high expectations for brands, toothpaste there are high expectations in the function. In order to increase the motivation for oral health education, it is recommended to use and provide knowledge about the brand of toothbrushes and Toothpastes by the function.
Keywords
Oral Care Products; Toothbrush; Toothpaste; Google Trends; Big Data; Oral Health Education;
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1 H. R. Choi, S. W. Lee, Y. A. Kim, J. H. Lee, H. Go & H. C. Kim (2017). The Necessity and Case Analysis of Bigdata Quality Control in Medical Institution, The Korean journal of bigdata, 2(1), 67-74.   DOI
2 S. S. Lee. (2013). Analytical Study on the Relationship between Centralities of Research Networks and Research Performances. Journal of Korean Library and Information Science Society, 44(3), 405-428.   DOI
3 Wikipedia (2018). Netminer search result. https://ko.wikipedia.org/w/index.php?title=%EB%84%B7%EB%A7%88%EC%9D%B4%EB%84%88&oldid=22318449.
4 L. C. Freeman. (1979). Centrality in social networks conceptual clarification, Social Networks, 1(3), 215-239.   DOI
5 T. M. Song. (2012). Multivariate Analysis of Suicide Causes Using Big Data. Health and Welfare Issue&Focus, 168, 1-8.
6 J. H. Kim, H. Kim, G. E. Sohn, Y. S. Song, J. H. Yoon, H. C. Lim & S. H. Jung. (2014). Communications of the Korean Institute of Information Scientists and Engineer, 32(3), 18-26.
7 D. I. Baek. (2012). Clinical preventive dentistry. Seoul. KMS.
8 J. B. Kim, H. S. Moon, D. I. Paik & Y. H. Lee. (2000). 'A survey on family dental health behavior in Seoul capital city'. THE JOURNAL OF THE KOREAN ACADEMY OF DENTAL HEALTH, 24(3), 239-254.
9 H. Y. Moon. (2009). A Study on Labelling and Advertising System of Oral Care Products. Korean Journal of Local Government & Administration Studies, 23(2), 445-463.
10 H. K. Kwon. (2006). Primary preventive dentistry. Daehan Nare Publishing Company.
11 Naver Knowledgeback. https://terms.naver.com/entry.nhn?cid=59931&docId=4369087&categoryId=59931.
12 J. Y. Lee, J. H. Lee & Y. H. Park. (2016). A design and implementation of the management system for number of keyword searching results using Google searching engine. Journal of information and communication convergence engineering, 20(5), 880-886.
13 Ecommerce platforms. (2018). What is GoogleTrends?. https://ecommerce-platforms.com/glossary/google-tr ends.
14 A. Al-Imam. (2017). Google Trends Analyses and Case Report: A Persistently Dilated Pupil in Psychedelics' User. Global Journal of Health Science, 2017, 9(11), 168.   DOI
15 J. I. Oh. (2017). Global hot issue big data. The Korean journal of bigdata, 2(1), 1-3.   DOI