[PDF][PDF] Using social media to enhance emergency situation awareness

J Yin, A Lampert, M Cameron, B Robinson… - IEEE intelligent …, 2012 - delvalle.bphc.org
Enabling situation awareness in a given environment thus relies on being able to identify an
appropriate set of perception elements, coupled with higher-level comprehension patterns …

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 …

[HTML][HTML] Nowcasting earthquake damages with Twitter

M Mendoza, B Poblete… - EPJ Data …, 2019 - epjdatascience.springeropen.com
Abstract The Modified Mercalli intensity scale (Mercalli scale for short) is a qualitative
measure used to express the perceived intensity of an earthquake in terms of damages …

Location name extraction from targeted text streams using gazetteer-based statistical language models

HS Al-Olimat, K Thirunarayan, V Shalin… - arXiv preprint arXiv …, 2017 - arxiv.org
Extracting location names from informal and unstructured social media data requires the
identification of referent boundaries and partitioning compound names. Variability …

[HTML][HTML] A quantitative analysis of global gazetteers: Patterns of coverage for common feature types

E Acheson, S De Sabbata, RS Purves - Computers, Environment and …, 2017 - Elsevier
Gazetteers are important tools used in a wide variety of workflows that depend on linking
natural language text to geographical space. The spatial properties of these data sources …

Joint recognition and linking of fine-grained locations from tweets

Z Ji, A Sun, G Cong, J Han - … of the 25th international conference on …, 2016 - dl.acm.org
Many users casually reveal their locations such as restaurants, landmarks, and shops in
their tweets. Recognizing such fine-grained locations from tweets and then linking the …

[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 …

Are we ready for this disaster? Towards location mention recognition from crisis tweets

R Suwaileh, M Imran, T Elsayed, H Sajjad - 2020 - qspace.qu.edu.qa
The widespread usage of Twitter during emergencies has provided a new opportunity and
timely resource to crisis responders for various disaster management tasks. Geolocation …

Domain-Independent detection of emergency situations based on social activity related to geolocations

H Sarmiento, B Poblete, J Campos - … of the 10th ACM Conference on …, 2018 - dl.acm.org
In general, existing methods for automatically detecting emergency situations using Twitter
rely on features based on domain-specific keywords found in messages. This type of …

Development and evaluation of a geographic information retrieval system using fine grained toponyms

D Palacio, C Derungs, R Purves - Journal of Spatial Information …, 2015 - 204.48.17.207
Geographic information retrieval (GIR) is concerned with returning information in response
to an information need, typically expressed in terms of a thematic and spatial component …