Results 41 to 50 of about 431 (122)
Aurorasaurus Database of Real‐Time, Crowd‐Sourced Aurora Data for Space Weather Research
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
Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis
With the design and development of smart cities, opportunities as well as challenges arise at the moment. For this purpose, lots of data need to be obtained. Nevertheless, circumstances vary in different cities due to the variant infrastructures and populations, which leads to the data sparsity.
Ningyu Zhang +4 more
wiley +1 more source
Location extraction from social media: geoparsing, location disambiguation and geotagging
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
Automated placename resolution in text: geoparsing the Gazetteer for Scotland
The majority of textual information currently available on the Internet contains some sort of geographical information. Due to the unstructured nature of this information, compared to both the complexities of human languages and the ambiguity of ...
Tsopanoglou, Paschalis
core +3 more sources
In 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
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
Street-Level Disaster Location Detection Using Image Matching of Social Media Images [PDF]
Rapid 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
Twitter and Sentiment Analysis for Wildfire Heat Mapping
ABSTRACT Nowadays, automated intelligent systems play an increasingly vital role in aiding decision‐making processes across various fields. Firefighting represents a crucial area where accurate information gathering is paramount for efficient resource allocation.
Catarina Silva +5 more
wiley +1 more source
Benchmarking large language models for geolocating colonial Virginia land grants
Virginia'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
From Data Deficient to Big Data in Shark Conservation
ABSTRACT Citizen science is increasingly harnessed worldwide to gather data otherwise requiring a prohibitive investment of funding and time. Meanwhile, the revolution in digital communication offers opportunities from crowdsourcing, big data approaches and social network mining to quickly and cost‐effectively fill major gaps in knowledge necessary to ...
F. Ferretti +8 more
wiley +1 more source

