@article{ART001822821},
author={Beomil Kang and Min Song and WhaSun Jho},
title={A Study on Opinion Mining of Newspaper Texts based on Topic Modeling},
journal={Journal of the Korean Society for Library and Information Science},
issn={1225-598X},
year={2013},
volume={47},
number={4},
pages={315-334},
doi={10.4275/KSLIS.2013.47.4.315}
TY - JOUR
AU - Beomil Kang
AU - Min Song
AU - WhaSun Jho
TI - A Study on Opinion Mining of Newspaper Texts based on Topic Modeling
JO - Journal of the Korean Society for Library and Information Science
PY - 2013
VL - 47
IS - 4
PB - 한국문헌정보학회
SP - 315
EP - 334
SN - 1225-598X
AB - This study performs opinion mining of newspaper articles, based on topics extracted by topic modeling. We analyze the attitudes of the news media towards a major issue of ‘presidential election’, assuming that newspaper partisanship is a kind of opinion. We first extract topics from a large collection of newspaper texts, and examine how the topics are distributed over the entire dataset. The structure and content of each topic are then investigated by means of network analysis. Finally we track down the chronological distribution of the topics in each of the newspapers through time serial analysis. The result reveals that both the liberal newspapers and the conservative newspapers exhibit their own tendency to report in line with their adopted ideology. This confirms that we can count on opinion mining technique based on topics in order to analyze opinion in a reliable fashion.
KW - Topic Modeling;Opinion Mining;Network Analysis;Newspaper Partisanship
DO - 10.4275/KSLIS.2013.47.4.315
ER -
Beomil Kang, Min Song and WhaSun Jho. (2013). A Study on Opinion Mining of Newspaper Texts based on Topic Modeling. Journal of the Korean Society for Library and Information Science, 47(4), 315-334.
Beomil Kang, Min Song and WhaSun Jho. 2013, "A Study on Opinion Mining of Newspaper Texts based on Topic Modeling", Journal of the Korean Society for Library and Information Science, vol.47, no.4 pp.315-334. Available from: doi:10.4275/KSLIS.2013.47.4.315
Beomil Kang, Min Song, WhaSun Jho "A Study on Opinion Mining of Newspaper Texts based on Topic Modeling" Journal of the Korean Society for Library and Information Science 47.4 pp.315-334 (2013) : 315.
Beomil Kang, Min Song, WhaSun Jho. A Study on Opinion Mining of Newspaper Texts based on Topic Modeling. 2013; 47(4), 315-334. Available from: doi:10.4275/KSLIS.2013.47.4.315
Beomil Kang, Min Song and WhaSun Jho. "A Study on Opinion Mining of Newspaper Texts based on Topic Modeling" Journal of the Korean Society for Library and Information Science 47, no.4 (2013) : 315-334.doi: 10.4275/KSLIS.2013.47.4.315
Beomil Kang; Min Song; WhaSun Jho. A Study on Opinion Mining of Newspaper Texts based on Topic Modeling. Journal of the Korean Society for Library and Information Science, 47(4), 315-334. doi: 10.4275/KSLIS.2013.47.4.315
Beomil Kang; Min Song; WhaSun Jho. A Study on Opinion Mining of Newspaper Texts based on Topic Modeling. Journal of the Korean Society for Library and Information Science. 2013; 47(4) 315-334. doi: 10.4275/KSLIS.2013.47.4.315
Beomil Kang, Min Song, WhaSun Jho. A Study on Opinion Mining of Newspaper Texts based on Topic Modeling. 2013; 47(4), 315-334. Available from: doi:10.4275/KSLIS.2013.47.4.315
Beomil Kang, Min Song and WhaSun Jho. "A Study on Opinion Mining of Newspaper Texts based on Topic Modeling" Journal of the Korean Society for Library and Information Science 47, no.4 (2013) : 315-334.doi: 10.4275/KSLIS.2013.47.4.315
