Semi-supervised user geolocation via graph convolutional networks
Social media user geolocation is vital to many applications such as event detection. In this
paper, we propose GCN, a multiview geolocation model based on Graph Convolutional …
paper, we propose GCN, a multiview geolocation model based on Graph Convolutional …
[HTML][HTML] Identification and classification of transportation disaster tweets using improved bidirectional encoder representations from transformers
Social Media today has become the most relevant and affordable platform to express one's
views in real-time. The# Endsars protest in Nigeria and the COVID-19 pandemic have …
views in real-time. The# Endsars protest in Nigeria and the COVID-19 pandemic have …
An overview of microblog user geolocation methods
X Luo, Y Qiao, C Li, J Ma, Y Liu - Information processing & management, 2020 - Elsevier
Geographical locations of microblog users are essential for user profiling, event localization
and target advertising, to name a few. Automatic identification of user locations from the …
and target advertising, to name a few. Automatic identification of user locations from the …
Mobility prediction: A survey on state-of-the-art schemes and future applications
H Zhang, L Dai - IEEE access, 2018 - ieeexplore.ieee.org
Recently, mobility has gathered tremendous interest as the users' desire for consecutive
connections and better quality of service has increased. An accurate prediction of user …
connections and better quality of service has increased. An accurate prediction of user …
Location reference identification from tweets during emergencies: A deep learning approach
Twitter is recently being used during crises to communicate with officials and provide rescue
and relief operation in real time. The geographical location information of the event, as well …
and relief operation in real time. The geographical location information of the event, as well …
Predictive analysis on Twitter: Techniques and applications
Predictive analysis of social media data has attracted considerable attention from the
research community as well as the business world because of the essential and actionable …
research community as well as the business world because of the essential and actionable …
A hierarchical location prediction neural network for twitter user geolocation
Accurate estimation of user location is important for many online services. Previous neural
network based methods largely ignore the hierarchical structure among locations. In this …
network based methods largely ignore the hierarchical structure among locations. In this …
Identifying user geolocation with hierarchical graph neural networks and explainable fusion
Determining user geolocation from social media data is essential in various location-based
applications—from improved transportation/supply management, through providing …
applications—from improved transportation/supply management, through providing …
Where is the provenance? Ethical replicability and reproducibility in GIScience and its critical applications
JA Tullis, B Kar - Annals of the American Association of …, 2021 - Taylor & Francis
As replicability and reproducibility (R&R) crises develop within emerging convergent inquiry,
ethical use of provenance information is central to the establishment and preservation of …
ethical use of provenance information is central to the establishment and preservation of …
Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization
Graph convolutional neural networks (GCNNs) have received much attention recently,
owing to their capability in handling graph-structured data. Among the existing GCNNs …
owing to their capability in handling graph-structured data. Among the existing GCNNs …