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http://dx.doi.org/10.7236/JIWIT.2011.11.4.217

A Study on the Implementation of SNS Message Classification by Emotion Factors  

Kim, Jae-Young (을지대학교 의료IT마케팅학과)
Kim, Myung-Gwan (을지대학교 의료IT마케팅학과)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.11, no.4, 2011 , pp. 217-222 More about this Journal
Abstract
SNS is growing by leaps and bounds, and many users of SNS are using by a medium of communication. Using SNS users are using means of their own news and the change of emotional expression. In this study using emotional elements to the program was implemented to classify the message. Extraction of emotional elements were used for emotional vocabulary in OMLS (Ocean-Monmouth Legal Services). Emotional elements were extended by The Roget of the thesaurus and WordNet.
Keywords
SNS; Twitter; Emotion;
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