SNS Sentiment Analysis and Needmining for ICT Digital Transformation and Data Convergence Ecosystem Establishment in LEO Satellite Communications


KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 12, pp. 347-356, Dec. 2023
https://doi.org/10.3745/KTCCS.2023.12.12.347,   PDF Download:
Keywords: Low Earth Orbit Satellite Communication, Digital Transformation, Data convergence, sentiment analysis, Needmining
Abstract

In the recent war between Ukraine and Russia, low-orbit satellite communication played a major role, and Korea laid a foothold for low-orbit satellite communication services with the successful launch of Nuri in May 2023 and entered a full-scale civilian space age competition. In order to create an ecosystem for ICT digital transformation and data convergence in the field of low-orbit satellite communication, this paper conducts user sentiment analysis by importing posts from Reddit, one of the world's SNS, and extracts need-related sentences through need mining to identify user needs, performs topic modeling to classify topics, and prepares an action plan according to these topics. We hope that this study will be used as a policy resource for the development and innovation of new business models in the field of low-orbit satellite communication, bridging the digital information gap and solving social problems, contributing to sustainable digital transformation and enhancing soft power.


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Cite this article
[IEEE Style]
B. Lee and T. Kim, "SNS Sentiment Analysis and Needmining for ICT Digital Transformation and Data Convergence Ecosystem Establishment in LEO Satellite Communications," KIPS Transactions on Computer and Communication Systems, vol. 12, no. 12, pp. 347-356, 2023. DOI: https://doi.org/10.3745/KTCCS.2023.12.12.347.

[ACM Style]
Byeong-Hee Lee and Tae-Hyun Kim. 2023. SNS Sentiment Analysis and Needmining for ICT Digital Transformation and Data Convergence Ecosystem Establishment in LEO Satellite Communications. KIPS Transactions on Computer and Communication Systems, 12, 12, (2023), 347-356. DOI: https://doi.org/10.3745/KTCCS.2023.12.12.347.