@article{ART001943606},
author={Phil-Sik Jang},
title={Study on Principal Sentiment Analysis of Social Data},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2014},
volume={19},
number={12},
pages={49-56}
TY - JOUR
AU - Phil-Sik Jang
TI - Study on Principal Sentiment Analysis of Social Data
JO - Journal of The Korea Society of Computer and Information
PY - 2014
VL - 19
IS - 12
PB - The Korean Society Of Computer And Information
SP - 49
EP - 56
SN - 1598-849X
AB - In this paper, we propose a method for identifying hidden principal sentiments among large scale textsfrom documents, social data, internet and blogs by analyzing standard language, slangs, argots,abbreviations and emoticons in those words. The IRLBA(Implicitly Restarted Lanczos BidiagonalizationAlgorithm) is used for principal component analysis with large scale sparse matrix. The proposed systemconsists of data acquisition, message analysis, sentiment evaluation, sentiment analysis and integration andresult visualization modules. The suggested approaches would help to improve the accuracy and expandthe application scope of sentiment analysis in social data.
KW - Social data;Big data;Principal sentiment analysis;SNS;Twitter
DO -
UR -
ER -
Phil-Sik Jang. (2014). Study on Principal Sentiment Analysis of Social Data. Journal of The Korea Society of Computer and Information, 19(12), 49-56.
Phil-Sik Jang. 2014, "Study on Principal Sentiment Analysis of Social Data", Journal of The Korea Society of Computer and Information, vol.19, no.12 pp.49-56.
Phil-Sik Jang "Study on Principal Sentiment Analysis of Social Data" Journal of The Korea Society of Computer and Information 19.12 pp.49-56 (2014) : 49.
Phil-Sik Jang. Study on Principal Sentiment Analysis of Social Data. 2014; 19(12), 49-56.
Phil-Sik Jang. "Study on Principal Sentiment Analysis of Social Data" Journal of The Korea Society of Computer and Information 19, no.12 (2014) : 49-56.
Phil-Sik Jang. Study on Principal Sentiment Analysis of Social Data. Journal of The Korea Society of Computer and Information, 19(12), 49-56.
Phil-Sik Jang. Study on Principal Sentiment Analysis of Social Data. Journal of The Korea Society of Computer and Information. 2014; 19(12) 49-56.
Phil-Sik Jang. Study on Principal Sentiment Analysis of Social Data. 2014; 19(12), 49-56.
Phil-Sik Jang. "Study on Principal Sentiment Analysis of Social Data" Journal of The Korea Society of Computer and Information 19, no.12 (2014) : 49-56.
