Twitter as a tool for the management and analysis of emergency situations: A systematic literature review

M Martínez-Rojas, M del Carmen Pardo-Ferreira… - International Journal of …, 2018 - Elsevier
The importance of timely, accurate and effective use of available information is essential to
the proper management of emergency situations. In recent years, emerging technologies …

Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges

Y Feng, X Huang, M Sester - International Journal of Geographical …, 2022 - Taylor & Francis
The idea of 'citizen as sensors' has gradually become a reality over the past decade. Today,
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …

[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 …

Survey on data analysis in social media: A practical application aspect

Q Hou, M Han, Z Cai - Big Data Mining and Analytics, 2020 - ieeexplore.ieee.org
Social media has more than three billion users sharing events, comments, and feelings
throughout the world. It serves as a critical information source with large volumes, high …

Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos

Y Feng, M Sester - ISPRS International Journal of Geo-Information, 2018 - mdpi.com
In recent years, pluvial floods caused by extreme rainfall events have occurred frequently.
Especially in urban areas, they lead to serious damages and endanger the citizens' safety …

Interactive learning for identifying relevant tweets to support real-time situational awareness

LS Snyder, YS Lin, M Karimzadeh… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Various domain users are increasingly leveraging real-time social media data to gain rapid
situational awareness. However, due to the high noise in the deluge of data, effectively …

Classification of crisis-related data on Twitter using a deep learning-based framework

NR Paul, D Sahoo, RC Balabantaray - Multimedia Tools and Applications, 2023 - Springer
In recent years, many citizens use social media platforms like Twitter to share and get the
most up-to-date information regarding crisis events such as natural and man-made crisis …

[HTML][HTML] Nonparametric Bayesian topic modelling with the hierarchical Pitman–Yor processes

KW Lim, W Buntine, C Chen, L Du - International Journal of Approximate …, 2016 - Elsevier
The Dirichlet process and its extension, the Pitman–Yor process, are stochastic processes
that take probability distributions as a parameter. These processes can be stacked up to …

Cross-lingual classification of crisis data

P Khare, G Burel, D Maynard, H Alani - … Monterey, CA, USA, October 8–12 …, 2018 - Springer
Many citizens nowadays flock to social media during crises to share or acquire the latest
information about the event. Due to the sheer volume of data typically circulated during such …

Detecting environmentally-related problems on Twitter

C Periñán-Pascual, F Arcas-Túnez - Biosystems Engineering, 2019 - Elsevier
Highlights•Analysing Spanish tweets to detect environmentally-related
problems.•Computing a problem-relatedness perception index for decision …