Results 61 to 70 of about 695 (170)
Multi-lingual Geoparsing based on Machine Translation
CoRR, 2015 7 pages, 4 figures,
Xu Chen 0017 +2 more
openaire +3 more sources
Real-time crisis mapping of natural disasters using social media
, 2014 The proposed social media crisis mapping platform for natural disasters uses locations from gazetteer, street map, and volunteered geographic information (VGI) sources for areas at risk of disaster and matches them to geoparsed real-time tweet data ...
Lee Middleton +5 more
core +1 more source
Aurorasaurus Database of Real‐Time, Crowd‐Sourced Aurora Data for Space Weather Research
Earth and Space Science, Volume 5, Issue 12, Page 970-980, December 2018., 2018 This technical report documents the details of Aurorasaurus citizen science data for the period spanning 2015 and 2016 as well as its routine data filtering protocols. Aurorasaurus citizen science data is a collection of auroral sightings submitted to the project via its website or apps and mined from social media.
B. C. Kosar +3 more
wiley +1 more source
Location extraction from social media: geoparsing, location disambiguation and geotagging
, 2018 Location extraction, also called toponym extraction, is a field covering geoparsing, extracting spatial representations from location mentions in text, and geotagging, assigning spatial coordinates to content items.
Symeon Papadopoulos +7 more
core +1 more source
Geoparsing the Historical Gazetteers of Scotland: Accurately Computing Location in Mass Digitised Texts [PDF]
, 2020 This paper describes work in progress on devising automatic and parallel methods for geoparsing large digital historical textual data by combining the strengths of three natural language processing (NLP) tools, the Edinburgh Geoparser, spaCy and defoe ...
Grover, Claire; id_orcid +3 more
core +5 more sources
Journal of Computational Literary StudiesIn the Atlas of Finnish Literature 1870-1940 project, we extract geographical information from a Finnish-language corpus of literary texts published between 1870 and 1940.
Asko Nivala +3 more
doaj +2 more sources
Recent Advances in Text Anonymization: A Systematic Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.This survey presents a unified, cross‐domain overview of text anonymization from 2021 to 2025, covering methods from rule‐based to LLM‐based approaches, relevant datasets, benchmarks, and evaluation strategies. It highlights the critical trade‐off between privacy and utility, underscores the importance of standardizing evaluation protocols and metrics,
Marina Litvak, Alípio Jorge
wiley +1 more source
Benchmarking large language models for geolocating colonial Virginia land grants
Journal of Spatial Information ScienceVirginia's seventeenth- and eighteenth-century land patents survive primarily as narrative metes-and-bounds descriptions, limiting spatial analysis. This study systematically evaluates current-generation large language models (LLMs) in converting these ...
Ryan Mioduski
doaj +1 more source
Street-Level Disaster Location Detection Using Image Matching of Social Media Images [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesRapid identification of disaster locations is essential for effective emergency response and situational awareness. However, a large proportion of images shared on social media during disasters lack geographic metadata, limiting their usefulness for ...
P.-H. Hsu +2 more
doaj +1 more source
Transactions in GIS, Volume 30, Issue 1, February 2026.ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley +1 more source