@article{ART002593135},
author={Lee Tae Sook and Chae Nam Jun and Rhee, Tae-Hwan},
title={Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails},
journal={Journal of Tourism Sciences},
issn={1226-0533},
year={2020},
volume={44},
number={4},
pages={147-167},
doi={10.17086/JTS.2020.44.4.147.167}
TY - JOUR
AU - Lee Tae Sook
AU - Chae Nam Jun
AU - Rhee, Tae-Hwan
TI - Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails
JO - Journal of Tourism Sciences
PY - 2020
VL - 44
IS - 4
PB - The Tourism Sciences Society Of Korea
SP - 147
EP - 167
SN - 1226-0533
AB - This study includes analysis of text data over the last 10 years (2009. 7- 2019. 6) from online portals and social media services targeting the JejuOlle, the JirisanDulle, and the Haeparang trails to identify the perception and use of walking trails. A network analysis was conducted on the collected data using Textom program, Ucinet and NodeXL. Characteristics of each of the three walking trails were identified. Specifically, the purpose of visit, types of companion, emotional image, accommodation, characteristics of the trail, famous sites of the trail, and other informative characteristics were derived using TF and TF-IDF values for each walking trail. As a result, interest trends and major keywords for each walking trail were determined. According to the findings of time series analysis by year, the data volume of Haeparang-gil has increased over time while there was no significant change in JejuOlle-gil, and interest in JirisanDulle-gil has decreased. Calculation of TF and TF-IDF values for keywords have indicated that the two significant words for JejuOlle-gil were ‘restaurant’ and ‘cafe’ while JirisanDulle-gil showed ‘pension’ and ‘B&B’, and ‘restaurant’ and ‘pension’ for Haeparang-gil. Moreover, findings upon sentiment analysis based on emotional vocabulary showed that all three walking trails had expressions such as ‘healing' and ‘happiness.’ It is expected that this study will be used as a fundamental reference to develop and improve contents that would fulfill walking travelers' needs.
KW - Walking trails;Walking tours;Semantic network analysis;TF-IDF(term frequency - inverse document frequency);Taxonomy
DO - 10.17086/JTS.2020.44.4.147.167
ER -
Lee Tae Sook, Chae Nam Jun and Rhee, Tae-Hwan. (2020). Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails. Journal of Tourism Sciences, 44(4), 147-167.
Lee Tae Sook, Chae Nam Jun and Rhee, Tae-Hwan. 2020, "Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails", Journal of Tourism Sciences, vol.44, no.4 pp.147-167. Available from: doi:10.17086/JTS.2020.44.4.147.167
Lee Tae Sook, Chae Nam Jun, Rhee, Tae-Hwan "Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails" Journal of Tourism Sciences 44.4 pp.147-167 (2020) : 147.
Lee Tae Sook, Chae Nam Jun, Rhee, Tae-Hwan. Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails. 2020; 44(4), 147-167. Available from: doi:10.17086/JTS.2020.44.4.147.167
Lee Tae Sook, Chae Nam Jun and Rhee, Tae-Hwan. "Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails" Journal of Tourism Sciences 44, no.4 (2020) : 147-167.doi: 10.17086/JTS.2020.44.4.147.167
Lee Tae Sook; Chae Nam Jun; Rhee, Tae-Hwan. Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails. Journal of Tourism Sciences, 44(4), 147-167. doi: 10.17086/JTS.2020.44.4.147.167
Lee Tae Sook; Chae Nam Jun; Rhee, Tae-Hwan. Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails. Journal of Tourism Sciences. 2020; 44(4) 147-167. doi: 10.17086/JTS.2020.44.4.147.167
Lee Tae Sook, Chae Nam Jun, Rhee, Tae-Hwan. Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails. 2020; 44(4), 147-167. Available from: doi:10.17086/JTS.2020.44.4.147.167
Lee Tae Sook, Chae Nam Jun and Rhee, Tae-Hwan. "Semantic Network Analysis on Usage Behavior of Major Korean Walking Trails" Journal of Tourism Sciences 44, no.4 (2020) : 147-167.doi: 10.17086/JTS.2020.44.4.147.167