10.82210/E5LK1Y Costa, Elvira Elvira Costa Universidade NOVA de Lisboa NOVA Information Management School Repositório Polen QTY 2024 Social Sciences - Economic and Social Geography - Urban Studies Costa, Elvira Elvira Costa Universidade NOVA de Lisboa NOVA Information Management School Leonardo Vanneschi Leonardo Vanneschi 2024-05-07 2024-05-07 2024-05-07 10.1080/13658816.2023.2213869 1090560 application/vnd.ms-excel 1.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. The 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 Tecnologia EXPL/GES-URB/1429/2021