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@article{ART001927803},
author={Noh,Hyung-Nam},
title={Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments},
journal={Journal of Tourism Sciences},
issn={1226-0533},
year={2014},
volume={38},
number={9},
pages={123-145}

TY - JOUR
AU - Noh,Hyung-Nam
TI - Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments
JO - Journal of Tourism Sciences
PY - 2014
VL - 38
IS - 9
PB - The Tourism Sciences Society Of Korea
SP - 123
EP - 145
SN - 1226-0533
AB - This study focuses on tourism development based on the theory of moral sentiments, performing qualitative analysis on exogenous problems of Galton’s problem concerning increase in national wealth because of macro-interaction effects of the independent variables among extrinsic or selection factors, that would be proved by exhaustive research on the basis of assuming that the transformation into political issue as an instrumental variable undergoing a process of tourism development to increase national wealth setting up negentropy as eternal peace by virtue of unleadership, namely warm-hearted leadship. For the purpose of analyzing in social research this study limits the category within Cuba to deal with interaction effects of the independent variables i.e. individuals formulated spontaneously in the interaction of social average of the increase in national wealth recycled convergently according to the association path of the people, from which this study grasps an important concept of the plausibility of the instrumental variable to analyze significantly secure cases of the tourism development based on the theory of moral sentiments.
KW - Big data text mining;Tourism development;Leadship;Moral sentiments
DO -
UR -
ER -

Noh,Hyung-Nam. (2014). Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments. Journal of Tourism Sciences, 38(9), 123-145.

Noh,Hyung-Nam. 2014, "Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments", Journal of Tourism Sciences, vol.38, no.9 pp.123-145.

Noh,Hyung-Nam "Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments" Journal of Tourism Sciences 38.9 pp.123-145 (2014) : 123.

Noh,Hyung-Nam. Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments. 2014; 38(9), 123-145.

Noh,Hyung-Nam. "Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments" Journal of Tourism Sciences 38, no.9 (2014) : 123-145.

Noh,Hyung-Nam. Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments. Journal of Tourism Sciences, 38(9), 123-145.

Noh,Hyung-Nam. Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments. Journal of Tourism Sciences. 2014; 38(9) 123-145.

Noh,Hyung-Nam. Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments. 2014; 38(9), 123-145.

Noh,Hyung-Nam. "Big Data Text Mining: Focusing on Tourism Developmentbased on the Theory of Moral Sentiments" Journal of Tourism Sciences 38, no.9 (2014) : 123-145.