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Evaluating Geo-Tagged Twitter Data to Analyze Tourist Flows in Styria, Austria

Research Group Geoinformation, Institute of Geodesy, Graz University of Technology, 8010 Graz, Austria
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ISPRS Int. J. Geo-Inf. 2020, 9(11), 681; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110681
Received: 30 September 2020 / Revised: 1 November 2020 / Accepted: 10 November 2020 / Published: 15 November 2020
The research focuses on detecting tourist flows in the Province of Styria in Austria based on crowdsourced data. Twitter data were collected in the time range from 2008 until August 2018. Extracted tweets were submitted to an extensive filtering process within non-relational database MongoDB. Hotspot Analysis and Kernel Density Estimation methods were applied, to investigate spatial distribution of tourism relevant tweets under temporal variations. Furthermore, employing the VADER method an integrated semantic analysis provides sentiments of extracted tweets. Spatial analyses showed that detected Hotspots correspond to typical Styrian touristic areas. Apart from mainly successful sentiment analysis, it pointed out also a problematic aspect of working with multilingual data. For evaluation purposes, the official tourism data from the Province of Styria and federal Statistical Office of Austria played a role of ground truth data. An evaluation with Pearson’s correlation coefficient was employed, which proves a statistically significant correlation between Twitter data and reference data. In particular, the paper shows that crowdsourced data on a regional level can serve as accurate indicator for the behaviour and movement of users. View Full-Text
Keywords: Twitter; crowdsourcing; spatial analysis; sentiment analysis; tourism; Styria Twitter; crowdsourcing; spatial analysis; sentiment analysis; tourism; Styria
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MDPI and ACS Style

Scholz, J.; Jeznik, J. Evaluating Geo-Tagged Twitter Data to Analyze Tourist Flows in Styria, Austria. ISPRS Int. J. Geo-Inf. 2020, 9, 681. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110681

AMA Style

Scholz J, Jeznik J. Evaluating Geo-Tagged Twitter Data to Analyze Tourist Flows in Styria, Austria. ISPRS International Journal of Geo-Information. 2020; 9(11):681. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110681

Chicago/Turabian Style

Scholz, Johannes, and Janja Jeznik. 2020. "Evaluating Geo-Tagged Twitter Data to Analyze Tourist Flows in Styria, Austria" ISPRS International Journal of Geo-Information 9, no. 11: 681. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110681

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