Results 31 to 40 of about 171 (144)

Text‐analysis reveals taxonomic and geographic disparities in animal pollination literature

Ecography, Volume 43, Issue 1, Page 44-59, January 2020., 2020
Ecological systematic reviews and meta‐analyses have significantly increased our understanding of global biodiversity decline. However, for some ecological groups, incomplete and biased datasets have hindered our ability to construct robust, predictive models. One such group consists of the animal pollinators.
Joseph W. Millard, Robin Freeman, Tim Newbold   +2 more
wiley   +1 more source

Automatic extraction of geographic context from textual data

Computational Science and Techniques, 2014
The amount of information on the internet grows exponentially. It isnot enough anymore just to have a general access to this huge amount of data,instead it is becoming a necessity to be able to use different kinds ofautomatic filters to retrieve just the
Jurijs Nikolajevs, Gints Jekabsons
doaj   +1 more source

Mordecai 3: A Neural Geoparser and Event Geocoder

CoRR, 2023
6 pages, 1 figure, 4 ...
openaire   +2 more sources

Twitter-Based Flood Damage Mapping Using Text Classification and Geoparsing Techniques [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Social media is a prominent source of real-time information for disaster understanding. This study provides a method that uses natural language processing (NLP), machine learning, and geoparsing for flood damage mapping and classification from Twitter ...
Z. Amirgholizadeh, M. H. Vahidnia, A. A. Matkan   +2 more
doaj   +1 more source

Automated vocabulary discovery for geo-parsing online epidemic intelligence

BMC Bioinformatics, 2009
Background Automated surveillance of the Internet provides a timely and sensitive method for alerting on global emerging infectious disease threats. HealthMap is part of a new generation of online systems designed to monitor and visualize, on a real-time
Freifeld Clark C, Keller Mikaela, Brownstein John S   +2 more
doaj   +1 more source

The Making of a Sacred Landscape: Visualizing Hangzhou Buddhist Culture via Geoparsing a Local Gazetteer the Xianchun Lin’an zhi 咸淳臨安志

Religions, 2022
This project uses local sources to visualize and analyze the spatial distribution of Buddhist sites in Hangzhou 杭州, China, in the Southern Song dynasty (1127–1279).
Jeffrey Liu, Ziling Wan
doaj   +1 more source

Multi-lingual Geoparsing based on Machine Translation

CoRR, 2015
7 pages, 4 figures,
Xu Chen 0017, Han Zhang, Judith Gelernter   +2 more
openaire   +2 more sources

An algorithm for identification of natural disaster affected area

Journal of Big Data, 2017
An important source of information presently is social media, which reports any major event including natural disasters. Social media also includes conversational data. As a result, the volume of data on social media has an enormous increase.
M. V. Sangameswar, M. Nagabhushana Rao, S. Satyanarayana   +2 more
doaj   +1 more source

Understandig Territory from an Online Perspective: Twitter and New Ways to do Research on Urban Phenomena

Fuori Luogo, 2021
In the era of the data revolution (Kitchin, 2014), new kinds of data and data sources allow researchers to share innovative ways of studying society and its dynamics to comprehend the peculiarities related to the territory.
Noemi Crescentini, Ciro Clemente De Falco, Marco Ferracci   +2 more
doaj   +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, Elizabeth A. MacDonald, Nathan A. Case, Matthew Heavner   +3 more
wiley   +1 more source