2026-04-30T15:02:53Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/15162024-03-04T11:13:13Zcom_20.500.11984_473col_20.500.11984_478

00925njm 22002777a 4500 dc Serna, Ainhoa author 2018 The goal of the study of the paper is to propose a dashboard with dynamic graphics using a qualitatively and quantitatively approach to investigate the tourists’ satisfaction according by transport mode used. The methodology implemented in the research includes data collection from TripAdvisor.com with geographic locations and their integration with statistical territorial data. Text mining techniques are applied in order to assess tourists’ perceptions on success factors, which may be used as planning support tools. The case study concerns Croatia country and shows the value and complementarity of Social Media-related data with official statistics for transport and tourism planning. 2352-1457 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=153750 https://hdl.handle.net/20.500.11984/1516 Transport Social media Text mining Natural language processing User generated content Transport analysis approach based on big data and text mining analysis from social media