Abstract
By the arrival of the social network services, the online community changed from information-centered to relation-centered. so the research which analyses relational-centered online community is being actively in progress. However, since the analysing methods of the social network services designed to handle massive data, are not formalized yet, only the partial analysis results is being used to extract the conclusions. In this study, the massive data generated by the social network services are automatically classified using SVM, and the methodology which analyses relational tendency of each user’s interaction using opinion mining is proposed.
This research was supported by National Research Foundation of Korea(KRF-2009-322-A00106).
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© 2011 Springer-Verlag Berlin Heidelberg
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Kwon, Y.J., Park, Y.B. (2011). A Study on Automatic Analysis of Social Network Services Using Opinion Mining. In: Kim, Th., et al. Future Generation Information Technology. FGIT 2011. Lecture Notes in Computer Science, vol 7105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27142-7_28
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DOI: https://doi.org/10.1007/978-3-642-27142-7_28
Publisher Name: Springer, Berlin, Heidelberg
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