@article{ART002209158},
author={Noh,Hyung-Nam},
title={Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics},
journal={The Sociolinguistic Journal of Korea},
issn={1226-4822},
year={2017},
volume={25},
number={1},
pages={27-52},
doi={10.14353/sjk.2017.25.1.02}
TY - JOUR
AU - Noh,Hyung-Nam
TI - Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics
JO - The Sociolinguistic Journal of Korea
PY - 2017
VL - 25
IS - 1
PB - The Sociolinguistic Society Of Korea
SP - 27
EP - 52
SN - 1226-4822
AB - The aim of this paper is to suggest a new scientific discipline in sociolinguistic research, dealing with entertainment science based on deep learning focused on areal sociolinguistics as a current methodology de facto made by ultra-fusion of area studies and sociolinguistics. From a fact-oriented and data-oriented analysis perspective this paper examines real phenomena of areal sociolinguistics provoked by two famous sing-a-song writers: America’s Robert Allen Zimmerman, so-called 2016 Nobel prize winner Bob Dylan, and Brazil’s Paulo Coelho de Souza. The results of the qualitative analyses between two eminent areas, where particular attributes of alternative societies are filled with swarm intelligence on the basis of resistance consciousness, suggest the areal sociolinguistics mentioned-above. From the diachronic and synchronic viewpoints of cross-over geographical cultures this paper makes a mid-range generalization, on making a definition about alternative societies in America and Brazil in spite of the geographical methodology of area studies between the two countries, being offered by stubborn resistance against ready-made ideas to calm down keen psychological conflicts among established moral principles to overcome philosophical catastrophe in social chaos, and full of competitive instinct against existing generations.
KW - entertainment science;deep learning;areal sociolinguistics;Bob Dylan;Coelho
DO - 10.14353/sjk.2017.25.1.02
ER -
Noh,Hyung-Nam. (2017). Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics. The Sociolinguistic Journal of Korea, 25(1), 27-52.
Noh,Hyung-Nam. 2017, "Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics", The Sociolinguistic Journal of Korea, vol.25, no.1 pp.27-52. Available from: doi:10.14353/sjk.2017.25.1.02
Noh,Hyung-Nam "Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics" The Sociolinguistic Journal of Korea 25.1 pp.27-52 (2017) : 27.
Noh,Hyung-Nam. Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics. 2017; 25(1), 27-52. Available from: doi:10.14353/sjk.2017.25.1.02
Noh,Hyung-Nam. "Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics" The Sociolinguistic Journal of Korea 25, no.1 (2017) : 27-52.doi: 10.14353/sjk.2017.25.1.02
Noh,Hyung-Nam. Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics. The Sociolinguistic Journal of Korea, 25(1), 27-52. doi: 10.14353/sjk.2017.25.1.02
Noh,Hyung-Nam. Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics. The Sociolinguistic Journal of Korea. 2017; 25(1) 27-52. doi: 10.14353/sjk.2017.25.1.02
Noh,Hyung-Nam. Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics. 2017; 25(1), 27-52. Available from: doi:10.14353/sjk.2017.25.1.02
Noh,Hyung-Nam. "Entertainment Science Based on Deep Learning: Focused on Areal Sociolinguistics" The Sociolinguistic Journal of Korea 25, no.1 (2017) : 27-52.doi: 10.14353/sjk.2017.25.1.02
