Vision-language models in remote sensing: Current progress and future trends
The remarkable achievements of ChatGPT and Generative Pre-trained Transformer 4 (GPT-
4) have sparked a wave of interest and research in the field of large language models …
4) have sparked a wave of interest and research in the field of large language models …
Geoinformation harvesting from social media data: A community remote sensing approach
As unconventional sources of geoinformation, massive imagery and text messages from
open platforms and social media form a temporally quasi-seamless, spatially …
open platforms and social media form a temporally quasi-seamless, spatially …
Blockchain-based event detection and trust verification using natural language processing and machine learning
Z Shahbazi, YC Byun - IEEE Access, 2021 - ieeexplore.ieee.org
Information sharing is one of the huge topics in social media platform regarding the daily
news related to events or disasters happens in nature or its human-made. The automatic …
news related to events or disasters happens in nature or its human-made. The automatic …
[HTML][HTML] A decision support system for extracting artificial intelligence-driven insights from live twitter feeds on natural disasters
F Sufi - Decision Analytics Journal, 2022 - Elsevier
Existing studies on Twitter-based natural disaster analysis suffer from shortcomings like
limitations on supported languages, lack of sentiment analysis, regional restrictions, lack of …
limitations on supported languages, lack of sentiment analysis, regional restrictions, lack of …
Changes in Twitter geolocations: Insights and suggestions for future usage
A Kruspe, M Häberle, EJ Hoffmann… - arXiv preprint arXiv …, 2021 - arxiv.org
Twitter data has become established as a valuable source of data for various application
scenarios in the past years. For many such applications, it is necessary to know where …
scenarios in the past years. For many such applications, it is necessary to know where …
[HTML][HTML] Quantifying urban linguistic diversity related to rainfall and flood across China with social media data
Understanding the public's diverse linguistic expressions about rainfall and flood provides a
basis for flood disaster studies and enhances linguistic and cultural awareness. However …
basis for flood disaster studies and enhances linguistic and cultural awareness. However …
The role of social media in the process of informing the public about disaster risks
V Cvetković, A Nikolić, A Ivanov - Journal of Liberty and International …, 2023 - ceeol.com
Social media informs the public about the most important events and conveys important
information. Before, during, and after disasters, social media are used to disseminate …
information. Before, during, and after disasters, social media are used to disseminate …
Enhancing crisis-related tweet classification with entity-masked language modeling and multi-task learning
P Seeberger, K Riedhammer - arXiv preprint arXiv:2211.11468, 2022 - arxiv.org
Social media has become an important information source for crisis management and
provides quick access to ongoing developments and critical information. However …
provides quick access to ongoing developments and critical information. However …
Geographic information extraction from texts (geoext)
A large volume of unstructured texts, containing valuable geographic information, is
available online. This information–provided implicitly or explicitly–is useful not only for …
available online. This information–provided implicitly or explicitly–is useful not only for …
How to Save Lives with Microblogs? Lessons From the Usage of Weibo for Requests for Medical Assistance During COVID-19
During recent crises like COVID-19, microblogging platforms have become popular
channels for affected people seeking assistance such as medical supplies and rescue …
channels for affected people seeking assistance such as medical supplies and rescue …