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 …
An integrated model for textual social media data with spatio-temporal dimensions
J Díaz Zamora, B Poblete Labra, F Bravo Márquez - 2020 - repositorio.uchile.cl
GPS-enabled devices and social media popularity have created an unprecedented
opportunity for researchers to collect, explore, and analyze text data with fine-grained spatial …
opportunity for researchers to collect, explore, and analyze text data with fine-grained spatial …
Region Profile Enhanced Urban Spatio-Temporal Prediction via Adaptive Meta-Learning
Urban spatio-temporal (ST) prediction plays a crucial role in smart city construction. Due to
the high cost of ST data collection, improving ST prediction in a lack of data is significant. For …
the high cost of ST data collection, improving ST prediction in a lack of data is significant. For …
Relevancy identification across languages and crisis types
Social media plays a vital role in information sharing during disasters. Unfortunately, the
overwhelming volume and variety of data generated on social media make it challenging to …
overwhelming volume and variety of data generated on social media make it challenging to …
A hierarchical geolocation of indoor scenes with visual and text explanations using deep learning
V NEGRI - 2019 - politesi.polimi.it
The need to geolocate images of indoor scenes occurs in many applications, including
police forensic investigations into people trafficking and related crimes. According to the …
police forensic investigations into people trafficking and related crimes. According to the …
Towards an event-aware urban mobility prediction system
Today, thanks to the rapid developing mobile and sensor networks in IoT (Internet of Things)
systems, spatio-temporal big data are being constantly generated. They have brought us a …
systems, spatio-temporal big data are being constantly generated. They have brought us a …
An integrated model for textual social media data with spatio-temporal dimensions
J Diaz, B Poblete, F Bravo-Marquez - Information Processing & …, 2020 - Elsevier
GPS-enabled devices and social media popularity have created an unprecedented
opportunity for researchers to collect, explore, and analyze text data with fine-grained spatial …
opportunity for researchers to collect, explore, and analyze text data with fine-grained spatial …
Geotagging social media posts to landmarks using hierarchical BERT (student abstract)
Geographical information provided in social media data is useful for many valuable
applications. However, only a small proportion of social media posts are explicitly …
applications. However, only a small proportion of social media posts are explicitly …
Experimentation standards for crisis informatics
F Diaz - ACM SIGIR Forum, 2014 - dl.acm.org
Easy access to online media has led to an escalation of researchers and companies
developing information analysis systems for use in crisis response. These systems use state …
developing information analysis systems for use in crisis response. These systems use state …
Classifying relevant social media posts during disasters using ensemble of domain-agnostic and domain-specific word embeddings
The use of social media as a means of communication has significantly increased over
recent years. There is a plethora of information flow over the different topics of discussion …
recent years. There is a plethora of information flow over the different topics of discussion …