Social-media data for urban sustainability

RT Ilieva, T McPhearson - Nature Sustainability, 2018 - nature.com
A voluminous and complex amount of information—'big data'—from social media such as
Twitter and Flickr is now ubiquitous and of increasing interest to researchers studying …

A survey of location prediction on twitter

X Zheng, J Han, A Sun - IEEE Transactions on Knowledge and …, 2018 - ieeexplore.ieee.org
Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

Text-based twitter user geolocation prediction

B Han, P Cook, T Baldwin - Journal of Artificial Intelligence Research, 2014 - jair.org
Geographical location is vital to geospatial applications like local search and event
detection. In this paper, we investigate and improve on the task of text-based geolocation …

Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey

I Afyouni, Z Al Aghbari, RA Razack - Information Fusion, 2022 - Elsevier
The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …

[HTML][HTML] Event classification and location prediction from tweets during disasters

JP Singh, YK Dwivedi, NP Rana, A Kumar… - Annals of Operations …, 2019 - Springer
Social media is a platform to express one's view in real time. This real time nature of social
media makes it an attractive tool for disaster management, as both victims and officials can …

A survey of location inference techniques on Twitter

O Ajao, J Hong, W Liu - Journal of Information Science, 2015 - journals.sagepub.com
The increasing popularity of the social networking service, Twitter, has made it more
involved in day-to-day communications, strengthening social relationships and information …

[HTML][HTML] Social sensing of floods in the UK

R Arthur, CA Boulton, H Shotton, HTP Williams - PloS one, 2018 - journals.plos.org
“Social sensing” is a form of crowd-sourcing that involves systematic analysis of digital
communications to detect real-world events. Here we consider the use of social sensing for …

Metadata-induced contrastive learning for zero-shot multi-label text classification

Y Zhang, Z Shen, CH Wu, B Xie, J Hao… - Proceedings of the …, 2022 - dl.acm.org
Large-scale multi-label text classification (LMTC) aims to associate a document with its
relevant labels from a large candidate set. Most existing LMTC approaches rely on massive …

I see a car crash: Real-time detection of small scale incidents in microblogs

A Schulz, P Ristoski, H Paulheim - … Events, Montpellier, France, May 26-30 …, 2013 - Springer
Microblogs are increasingly gaining attention as an important information source in
emergency management. Nevertheless, it is still difficult to reuse this information source …

Mining location from social media: A systematic review

K Stock - Computers, Environment and Urban Systems, 2018 - Elsevier
During the last ten years, a large body of research extracting and analysing geographic data
from social media has developed. We analyse 690 papers across 20 social media platforms …