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Part 1: Document Description
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Citation |
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Title: |
CityMe - dataset with mapped regions |
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Identification Number: |
doi:10.82210/E5LK1Y |
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Distributor: |
Repositório Polen QTY |
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Date of Distribution: |
2024-05-07 |
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Version: |
1 |
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Bibliographic Citation: |
Costa, Elvira, 2024, "CityMe - dataset with mapped regions", https://doi.org/10.82210/E5LK1Y, Repositório Polen QTY, V1 |
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Citation |
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Title: |
CityMe - dataset with mapped regions |
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Identification Number: |
doi:10.82210/E5LK1Y |
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Authoring Entity: |
Costa, Elvira (Universidade NOVA de Lisboa NOVA Information Management School) |
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Other identifications and acknowledgements: |
Leonardo Vanneschi |
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Date of Production: |
2024-05-07 |
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Grant Number: |
EXPL/GES-URB/1429/2021 |
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Distributor: |
Repositório Polen QTY |
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Access Authority: |
Costa, Elvira |
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Depositor: |
Costa, Elvira |
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Date of Deposit: |
2024-05-07 |
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Holdings Information: |
https://doi.org/10.82210/E5LK1Y |
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Study Scope |
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Keywords: |
Social Sciences - Economic and Social Geography - Urban Studies |
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Abstract: |
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. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Tang, 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 |
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Identification Number: |
10.1080/13658816.2023.2213869 |
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Bibliographic Citation: |
Tang, 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 |
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Label: |
Pure research outputs - 70524.xls |
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Notes: |
application/vnd.ms-excel |