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http://dx.doi.org/10.14400/JDC.2014.12.10.243

A change of the public's emotion depending on Temperature & Humidity index  

Yang, Junggi (Dept. of IT Convergence Engineering, Gachon University)
Kim, Geunyoung (Dept. of Computer Science, Gachon University)
Lee, Youngho (Dept. of Computer Science, Gachon University)
Kang, Un-Gu (Dept. of Computer Science, Gachon University)
Publication Information
Journal of Digital Convergence / v.12, no.10, 2014 , pp. 243-252 More about this Journal
Abstract
Many researches about the effect on politics, economics and Sociocultural phenomenon using the social media are in progress. Authors utilized NAVER Trend most famous web browsing service in korea, NAVER Blog social media, NAVER Cafe service and Open Data(API) and also used temperature, humidity index data of Korea Meteorological Administration. This study analyzed a change of the public's emotion in korea using Cluster analysis of vocabulary of taste among its of feelings and senses. K-means clustering was followed by decision of the number of groups which was used Chi-square goodness of fit test and ward analysis. Eight groups was made and it represented sensitive vocabulary. By Discriminant analysis, eight groups decided by Cluster analysis has 98.9% accuracy. The change of the public's emotion has capability to predict people's activity so they can share sensibility and a bond of sympathy developed between them.
Keywords
Social Media; Social Networking Service; Social Data; Open API; Open Data;
Citations & Related Records
Times Cited By KSCI : 12  (Citation Analysis)
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