Big data-assisted urban governance: An intelligent real-time monitoring and early warning system for public opinion in government hotline

Z Zhang, X Lin, S Shan - Future Generation Computer Systems, 2023 - Elsevier
The implementation of big data-based analysis, conducting forecasts, and increasing
service capabilities in smart government affairs can effectively enhance the efficiency of …

Building knowledge base of urban emergency events based on crowdsourcing of social media

Z Xu, H Zhang, C Hu, L Mei, J Xuan… - Concurrency and …, 2016 - Wiley Online Library
An emergency event is an unexceptional event that exceeds the capacity of normal
resources and organization to cope and a situation that poses an immediate risk to health …

Smart government framework with geo-crowdsourcing and social media analysis

JN Witanto, H Lim, M Atiquzzaman - Future Generation Computer Systems, 2018 - Elsevier
Smart government utilizes data to improve services provided to the citizen. Smart city may
benefit from citizen engagement through crowdsourcing and social media. This paper …

Semantic search for public opinions on urban affairs: A probabilistic topic modeling-based approach

B Ma, N Zhang, G Liu, L Li, H Yuan - Information Processing & …, 2016 - Elsevier
The explosion of online user-generated content (UGC) and the development of big data
analysis provide a new opportunity and challenge to understand and respond to public …

Parallel incremental association rule mining framework for public opinion analysis

Y Song, L Yang, Y Wang, X Xiao, S You, Z Tang - Information Sciences, 2023 - Elsevier
Internet public opinion association rule mining (POARM) has garnered significant attention
from a larger group of netizens. However, most POARM methods have been applied to post …

New framework that uses patterns and relations to understand terrorist behaviors

S Tutun, MT Khasawneh, J Zhuang - Expert Systems with Applications, 2017 - Elsevier
Terrorism is a complex phenomenon with high uncertainties in user strategy. The uncertain
nature of terrorism is a main challenge in the design of counter-terrorism policy. Government …

[HTML][HTML] Understanding citizen issues through reviews: A step towards data informed planning in smart cities

N Dilawar, H Majeed, MO Beg, N Ejaz, K Muhammad… - Applied Sciences, 2018 - mdpi.com
Featured Application This work can be converted into an application that takes user reviews
as input and classifies them into Aspect Categories at the output. These classified categories …

Real-time identification of urban rainstorm waterlogging disasters based on Weibo big data

Y Xiao, B Li, Z Gong - Natural Hazards, 2018 - Springer
With the acceleration of urbanisation in China, preventing and reducing the economic losses
and casualties caused by urban rainstorm waterlogging disasters have become a critical …

Understanding citizens' emotional pulse in a smart city using artificial intelligence

A Adikari, D Alahakoon - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Over the past decade, smart city applications have gained significant attention in industrial
informatics. However, little attention has been given to perceiving the emotions and …

Discovering the relationship of disasters from big scholar and social media news datasets

L Zheng, F Wang, X Zheng, B Liu - Social Sensing and Big Data …, 2020 - taylorfrancis.com
The construction method for chains of disasters or events is still one of the core scientific
questions in studying the common rules of disaster's evolution. Especially when dealing with …