[HTML][HTML] Machine learning and Natural Language Processing of social media data for event detection in smart cities

A Hodorog, I Petri, Y Rezgui - Sustainable Cities and Society, 2022 - Elsevier
Social media data analysis in a smart city context can represent an efficacious instrument to
inform decision making. The manuscript strives to leverage the power of Natural Language …

An Arabic social media based framework for incidents and events monitoring in smart cities

M Alkhatib, M El Barachi, K Shaalan - Journal of Cleaner Production, 2019 - Elsevier
Smart city initiatives aim at leveraging human, collective, and technological capital to ensure
sustainable development and quality of life for their citizens. Offering efficient and …

Social media-based intelligence for disaster response and management in smart cities

S Khatoon, A Asif, MM Hasan, M Alshamari - … , Machine Learning, and …, 2022 - Springer
This chapter highlights the key challenges of our ongoing project in developing an
information technology solution for emergency response and management in smart cities …

[HTML][HTML] Iktishaf+: a big data tool with automatic labeling for road traffic social sensing and event detection using distributed machine learning

E Alomari, I Katib, A Albeshri, T Yigitcanlar… - Sensors, 2021 - mdpi.com
Digital societies could be characterized by their increasing desire to express themselves
and interact with others. This is being realized through digital platforms such as social media …

What happens where during disasters? A Workflow for the multifaceted characterization of crisis events based on Twitter data

J Kersten, F Klan - Journal of Contingencies and Crisis …, 2020 - Wiley Online Library
Twitter data are a valuable source of information for rescue and helping activities in case of
natural disasters and technical accidents. Several methods for disaster‐and event‐related …

A perspective on managing cities and citizens' well-being through smart sensing data

M Caratù, I Pigliautile, C Piselli, C Fabiani - Environmental Science & Policy, 2023 - Elsevier
Urban development and growth have a significant impact on the environment, contributing to
ongoing climate change and affecting the resilience of urban communities. However, cities …

DUET: Data-driven approach based on latent Dirichlet allocation topic modeling

Y Wang, JE Taylor - Journal of Computing in Civil Engineering, 2019 - ascelibrary.org
Social networking platforms have been widely employed to detect and track physical events
in population-dense urban areas. They can be effective tools to understand what happens …

Iktishaf: A big data road-traffic event detection tool using Twitter and spark machine learning

E Alomari, I Katib, R Mehmood - Mobile Networks and Applications, 2023 - Springer
Road transportation is the backbone of modern economies despite costing annually millions
of human deaths and injuries and trillions of dollars. Twitter is a powerful information source …

Can we predict a riot? Disruptive event detection using Twitter

N Alsaedi, P Burnap, O Rana - ACM Transactions on Internet …, 2017 - dl.acm.org
In recent years, there has been increased interest in real-world event detection using
publicly accessible data made available through Internet technology such as Twitter …

[HTML][HTML] Detection of actionable tweets in crisis events

A Kruspe, J Kersten, F Klan - Natural Hazards and Earth …, 2021 - nhess.copernicus.org
Messages on social media can be an important source of information during crisis situations.
They can frequently provide details about developments much faster than traditional sources …