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Utilizing user generated contents to describe tourism areas of interest
Author(s)
Devkota, Bidur
Miyazaki, Hiroyuki
Pahari, Niraj
Date Issued
December 1, 2019
Type
Conference Paper
Abstract
The use of available place databases (like GeoNames and traditional maps) to obtain descriptive keywords of a user-defined place is not possible because such data sources mainly maintain location definitions of the well-known places only. Traditional sources may not be updated dynamically and may not ensure diverse information. Additionally, they do not give any information on the popularity, e.g., which is more popular among the places indexed by the same keyword. A bottom-up approach, based on real user attention, can address these problems. We propose a method to describe tourism area of interest (TAOI) by aggregating user generated social media text. We match the co-occurrence of important keywords in a particular location and select such words to describe TAOIs. We applied the proposed method to data on micro blogging service Twitter and photo sharing service Flickr and confirmed that our method made it possible to extract TAOI description. The recommended bottom-up approach enables the extraction of valuable information that is not possible by using traditional top-down approaches.
Citation
Proceedings 2019 1st International Conference on Smart Technology and Urban Development Stud 2019, 34-39, 2019