Big data analyses on key terms of wearable robots in social network services
International Journal of Clothing Science and Technology
ISSN: 0955-6222
Article publication date: 17 June 2021
Issue publication date: 11 March 2022
Abstract
Purpose
This research was to understand people's perceptions and trends in wearable robots and the research questions were as follows: (1) investigating key terms related to wearable robots that were frequently used by and exposed to people and (2) analyzing relationships among those key terms.
Design/methodology/approach
Textom, a big data collection and analysis software system, was used to collect data using the keyword – wearable robot.
Findings
The frequency-inverse document frequency, term frequency and central analyses were investigated, and the major key terms related to wearable robots and their connectivity were identified. After performing network analysis and convergence of iterated correlations analyses using UCINET and NetDraw programs, the major key term categories were identified.
Originality/value
It is important to understand how people think and perceive about wearable robots before developing wearable robots. The results of the research are expected to be helpful to better understand how people perceive and what key terms are mainly discussed by people in both countries and ultimately help when developing wearable robots with better market targeting approach methods.
Keywords
Acknowledgements
This work was supported by the Korean Government-Ministry of Trade, Industry and Energy (No. 20008912, S202005S00045).
Citation
Han, R. and Koo, S.H. (2022), "Big data analyses on key terms of wearable robots in social network services", International Journal of Clothing Science and Technology, Vol. 34 No. 2, pp. 285-298. https://doi.org/10.1108/IJCST-11-2020-0180
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited