When a disaster happens, we are ready: Location mention recognition from crisis tweets

R Suwaileh, T Elsayed, M Imran, H Sajjad - International Journal of Disaster …, 2022 - Elsevier
Geolocation information is important for humanitarian organizations to gain situational
awareness and deliver timely aid during disasters. Towards addressing the problem of …

Contribution of social media analytics to disaster response effectiveness: A systematic review of the literature

T Acikara, B Xia, T Yigitcanlar, C Hon - Sustainability, 2023 - mdpi.com
Disasters are sudden and catastrophic events with fatal consequences. Time-sensitive
information collection from disaster zones is crucial for improved and data-driven disaster …

Tbcov: two billion multilingual covid-19 tweets with sentiment, entity, geo, and gender labels

M Imran, U Qazi, F Ofli - Data, 2022 - mdpi.com
As the world struggles with several compounded challenges caused by the COVID-19
pandemic in the health, economic, and social domains, timely access to disaggregated …

Geospatial knowledge in housing advertisements: Capturing and extracting spatial information from text

L Cadorel, A Blanchi, AGB Tettamanzi - Proceedings of the 11th …, 2021 - dl.acm.org
Information of the geographical and spatial type is found in numerous text documents and
constitutes a very challenging target for extraction. Geoparsing applications have been …

Overcoming barriers to social media use through multisensor integration in emergency management systems

R Grace - International Journal of Disaster Risk Reduction, 2021 - Elsevier
For over a decade, the field of crisis informatics has observed novel, ad hoc uses of social
media among citizens and digital volunteers while noting barriers that impede social media …

[HTML][HTML] DLRGeoTweet: A comprehensive social media geocoding corpus featuring fine-grained places

X Hu, T Elßner, S Zheng, HN Serere, J Kersten… - Information Processing …, 2024 - Elsevier
Every day, many short text messages on social media are generated in response to real-
world events, providing a valuable resource for various domains such as emergency …

Meta ensemble learning in geospatial sentiment analysis and community survey mapping: a water supply case study

MH Vahidnia - Earth Science Informatics, 2024 - Springer
Amidst the proliferation of social media and online platforms, sentiment analysis stands out
as a pivotal tool in Natural Language Processing (NLP), facilitating the categorization of …

[HTML][HTML] Toponym Extraction and Disambiguation from Text: A Survey

R Windiastuti, AA Krisnadhi, I Budi - JOIV: International Journal on …, 2025 - joiv.org
Toponym is an essential element of geospatial information. Traditionally, toponyms are
collected in a gazetteer through field surveys that require significant resources, including …

Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models

AW Ziaullah, F Ofli, M Imran - arXiv preprint arXiv:2404.14432, 2024 - arxiv.org
Critical Infrastructure Facilities (CIFs), such as healthcare and transportation facilities, are
vital for the functioning of a community, especially during large-scale emergencies. In this …

Toponimi Nama Jalan di Kelurahan Sasi, Kecamatan Kota Kefamenanu, Timor Tengah Utara, Nusa Tenggara Timur (Studi Etnolinguistik)

I Afandi, J Juanda - GHANCARAN: Jurnal Pendidikan Bahasa …, 2024 - eprints.unm.ac.id
This research describes the choice of street names in the Sasi sub-district, Kefamenanu,
North Central Timor, and East Nusa Tenggara. The leading theory used is ethnolinguistics …