@article{ART002632626},
author={Yu Young, Kim},
title={Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python},
journal={The Japanese Language Association of Korea},
issn={1229-7275},
year={2020},
number={65},
pages={25-43},
doi={10.14817/jlak.2020.65.25}
TY - JOUR
AU - Yu Young, Kim
TI - Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python
JO - The Japanese Language Association of Korea
PY - 2020
VL - null
IS - 65
PB - The Japanese Language Association Of Korea
SP - 25
EP - 43
SN - 1229-7275
AB - In the era of big data, it is no longer possible to effectively collect, refine, and perform meaningful interpretations of necessary information only by methods such as conventional manual and intuitive insight. Therefore, in this paper, we built a large-scale text data independently and performed the text mining analysis based on the recognition that the text mining technique needs to be used in the field of Japanese studies as well, and that the verification of the practical technique itself is also necessary.
As a result, it was confirmed that an analysis of semantic orientations of the text using 'the Semantic Orientations of Words' is effective for the analysis of the 'emotion' of the text. Besides, it has been confirmed that Japanese media's 'semantic orientations' toward Korea has been deteriorating over the past decade. Above all, it was also confirmed that semantic orientations of Japanese media news articles about Korea were actively reflected in the issue of Korea-Japan relations.
KW - Text mining;Semantic Orientations of Words;Machine learning;Japanese media news about Korea;Python
DO - 10.14817/jlak.2020.65.25
ER -
Yu Young, Kim. (2020). Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python. The Japanese Language Association of Korea, 65, 25-43.
Yu Young, Kim. 2020, "Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python", The Japanese Language Association of Korea, no.65, pp.25-43. Available from: doi:10.14817/jlak.2020.65.25
Yu Young, Kim "Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python" The Japanese Language Association of Korea 65 pp.25-43 (2020) : 25.
Yu Young, Kim. Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python. 2020; 65 : 25-43. Available from: doi:10.14817/jlak.2020.65.25
Yu Young, Kim. "Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python" The Japanese Language Association of Korea no.65(2020) : 25-43.doi: 10.14817/jlak.2020.65.25
Yu Young, Kim. Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python. The Japanese Language Association of Korea, 65, 25-43. doi: 10.14817/jlak.2020.65.25
Yu Young, Kim. Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python. The Japanese Language Association of Korea. 2020; 65 25-43. doi: 10.14817/jlak.2020.65.25
Yu Young, Kim. Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python. 2020; 65 : 25-43. Available from: doi:10.14817/jlak.2020.65.25
Yu Young, Kim. "Analysis of the Japanese media's emotions about Korea-related news using text mining techniques; by implementation the Semantic Orientations of Words analysis method using Python" The Japanese Language Association of Korea no.65(2020) : 25-43.doi: 10.14817/jlak.2020.65.25
