10.82210/E5LK1YCosta, ElviraElviraCosta8310-2A96-15CDUniversidade NOVA de Lisboa NOVA Information Management SchoolRepositório Polen QTY2024Social Sciences - Economic and Social Geography - Urban StudiesCosta, ElviraElviraCostaUniversidade NOVA de Lisboa NOVA Information Management SchoolLeonardo VanneschiLeonardoVanneschi2024-05-072024-05-072024-05-0710.1080/13658816.2023.22138691090560application/vnd.ms-excel1.0CC0 1.0The main components of the framework include: setting the aggregated textual data from Twitter and place-based sources (Google and OSM); employing the BERTopic transformer-based topic modeling for each source; comparing topics emerged from each source using the cosine similarity metric; carrying out Getis-Ord G∗i hotspot analysis for retrieving statistically representative topic-based cells; applying the Jaccard similarity index aimed at ultimately comparing thematic and spatial similarities that support the discussion on content-location relationships for the case study.Fundação para a Ciência e a TecnologiaEXPL/GES-URB/1429/2021