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Beatrice Alex

Biographic Data

ID6205161
NAMEBeatrice Alex
GIVEN NAMESBeatrice
FAMILY NAMEAlex
SIGNATUREALEX B
AFFILIATIONSUniversity of Edinburgh
ORCID0000-0002-7279-1476
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS2
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Can Topic Modeling of Local Newspaper Texts Enhance Understanding of Neighborhood Effects on Health

    Open Access•Eleojo Abubakar, Andreas Grivas et al.•ARTICLE•Geographical Analysis•2025

    Social attributes of neighborhoods, like heritage, and low‐level social disorder, are not reflected in official metrics such as deprivation indices. However, research suggests these attributes are important for understanding spatial variations in health and social outcomes. This exploratory study investigated whether recurring themes in local newspaper articles capture meaningful social characteristics that help explain neighborhood health resili…

  • The Lothian Diary Project

    Open Access•Lauren Hall-Lew, Claire Cowie et al.•ARTICLE•Linguistics Vanguard•2022

    The Lothian Diary Project is an interdisciplinary effort to collect self-recorded audio or video diaries of people’s experiences of COVID-19 in and around Edinburgh, Scotland. In this paper we describe how the project emerged from a desire to support community members. The diaries have been disseminated through public events, a website, an oral history project, and engagement with policymakers. The data collection method encouraged the participat…

  • Geoparsing history

    Jim Clifford, Beatrice Alex et al.•ARTICLE•Historical Methods A Journal of…•2016•Cited by: 2•References: 10

    In the Trading Consequences project, historians, computational linguists, and computer scientists collaborated to develop a text mining system that extracts information from a vast amount of digitized published English-language sources from the “long nineteenth century” (1789 to 1914). The project focused on identifying relationships within the texts between commodities, geographical locations, and dates. The authors explain the methodology, uses…

  • Adapting the Edinburgh Geoparser for Historical Georeferencing

    Open Access•Beatrice Alex, Kate Byrne et al.•ARTICLE•International Journal of…•2015

    Place name mentions in text may have more than one potential referent (e.g. Peru, the country vs. Peru, the city in Indiana). The Edinburgh Language Technology Group (LTG) has developed the Edinburgh Geoparser, a system that can automatically recognise place name mentions in text and disambiguate them with respect to a gazetteer. The recognition step is required to identify location mentions in a given piece of text. The subsequent disambiguation…

  • Geoparsing history

    Jim Clifford, Beatrice Alex et al.•ARTICLE•Historical Methods A Journal of…•2016•Cited by: 2•References: 10

    In the Trading Consequences project, historians, computational linguists, and computer scientists collaborated to develop a text mining system that extracts information from a vast amount of digitized published English-language sources from the “long nineteenth century” (1789 to 1914). The project focused on identifying relationships within the texts between commodities, geographical locations, and dates. The authors explain the methodology, uses…

  • Adapting the Edinburgh Geoparser for Historical Georeferencing

    Open Access•Beatrice Alex, Kate Byrne et al.•ARTICLE•International Journal of…•2015

    Place name mentions in text may have more than one potential referent (e.g. Peru, the country vs. Peru, the city in Indiana). The Edinburgh Language Technology Group (LTG) has developed the Edinburgh Geoparser, a system that can automatically recognise place name mentions in text and disambiguate them with respect to a gazetteer. The recognition step is required to identify location mentions in a given piece of text. The subsequent disambiguation…

  • Geoparsing history

    Jim Clifford, Beatrice Alex et al.•ARTICLE•Historical Methods A Journal of…•2016•Cited by: 2•References: 10

    In the Trading Consequences project, historians, computational linguists, and computer scientists collaborated to develop a text mining system that extracts information from a vast amount of digitized published English-language sources from the “long nineteenth century” (1789 to 1914). The project focused on identifying relationships within the texts between commodities, geographical locations, and dates. The authors explain the methodology, uses…

  • The Lothian Diary Project

    Open Access•Lauren Hall-Lew, Claire Cowie et al.•ARTICLE•Linguistics Vanguard•2022

    The Lothian Diary Project is an interdisciplinary effort to collect self-recorded audio or video diaries of people’s experiences of COVID-19 in and around Edinburgh, Scotland. In this paper we describe how the project emerged from a desire to support community members. The diaries have been disseminated through public events, a website, an oral history project, and engagement with policymakers. The data collection method encouraged the participat…

  • Can Topic Modeling of Local Newspaper Texts Enhance Understanding of Neighborhood Effects on Health

    Open Access•Eleojo Abubakar, Andreas Grivas et al.•ARTICLE•Geographical Analysis•2025

    Social attributes of neighborhoods, like heritage, and low‐level social disorder, are not reflected in official metrics such as deprivation indices. However, research suggests these attributes are important for understanding spatial variations in health and social outcomes. This exploratory study investigated whether recurring themes in local newspaper articles capture meaningful social characteristics that help explain neighborhood health resili…

Computer Science (3 works) · Cartography (2 works) · Computational and Text Analysis Methods (2 works) · Data science (2 works) · Geography (2 works) · History (2 works) · Linguistics (2 works) · Newspaper (2 works) · World Wide Web (2 works) · Advertising (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae