CityMe - dataset with mapped regionshttps://doi.org/10.82210/E5LK1YCosta, ElviraRepositório Polen QTY2024-05-072024-05-07T16:20:54ZThe 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.Social Sciences - Economic and Social Geography - Urban StudiesTang, V., & Painho, M. (2023). Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content. International Journal of Geographical Information Science, 37(8), 1840–1871. https://doi.org/10.1080/13658816.2023.2213869, doi, 10.1080/13658816.2023.2213869, https://doi.org/10.1080/13658816.2023.22138692024-05-07Costa, ElviraLeonardo Vanneschi2024-05-07CC0 1.0