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http://dx.doi.org/10.14400/JDC.2014.12.12.249

Emotion Prediction of Document using Paragraph Analysis  

Kim, Jinsu (College of Liberal Arts, Anyang University)
Publication Information
Journal of Digital Convergence / v.12, no.12, 2014 , pp. 249-255 More about this Journal
Abstract
Recently, creation and sharing of information make progress actively through the SNS(Social Network Service) such as twitter, facebook and so on. It is necessary to extract the knowledge from aggregated information and data mining is one of the knowledge based approach. Especially, emotion analysis is a recent subdiscipline of text classification, which is concerned with massive collective intelligence from an opinion, policy, propensity and sentiment. In this paper, We propose the emotion prediction method, which extracts the significant key words and related key words from SNS paragraph, then predicts the emotion using these extracted emotion features.
Keywords
Emotion Prediction; Modified n-gram; Association Rule; Sequential Pattern; Support Vector Machine(SVM);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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