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http://dx.doi.org/10.9717/kmms.2015.18.2.233

Hotspot Analysis of Korean Twitter Sentiments  

Lim, Joasang (Dept. of Media Software, College of Computer Software and Media Technology, Sangmyung University)
Kim, Jinman (Dept. of Computer Science, Graduate School, Sangmyung University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.2, 2015 , pp. 233-243 More about this Journal
Abstract
A hotspot is a spatial pattern that properties or events of spaces are densely revealed in a particular area. Whereas location information is easily captured with increasing use of mobile devices, so is not our emotion unless asking directly through a survey. Tweet provides a good way of analyzing such spatial sentiment, but relevant research is hard to find. Therefore, we analyzed hotspots of emotion in the twitter using spatial autocorrelation. 10,142 tweets and related GPS data were extracted. Sentiment of tweets was classified into good or bad with a support vector machine algorithm. We used Moran's I and Getis-Ord $G_i^*$ for global and local spatial autocorrelation. Some hotspots were found significant and drawn on Seoul metropolitan area map. These results were found very similar to an earlier conducted official survey of happiness index.
Keywords
Hotspot Analysis (Getis-Ord $G_i^*$); Happiness Index; Support Vector Machine; Twitter Emotion; Spatial Autocorrelation; Moran's I;
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