A survey of data representation for multi-modality event detection and evolution

K Xiao, Z Qian, B Qin - Applied Sciences, 2022 - mdpi.com
Featured Application Specific application include detect hot events and monitor the
development of events, potential applications include public opinion regulatory, monitor …

Automatic 3d modeling and reconstruction of cultural heritage sites from twitter images

A Doulamis, A Voulodimos, E Protopapadakis… - Sustainability, 2020 - mdpi.com
This paper presents an approach for leveraging the abundance of images posted on social
media like Twitter for large scale 3D reconstruction of cultural heritage landmarks. Twitter …

[Retracted] Research on the Influence of DNN‐Based Cross‐Media Data Analysis on College Students' New Media Literacy

R Xu, C Wang, Y Hsu, X Wang - Computational Intelligence and …, 2022 - Wiley Online Library
New media has gradually become the mainstream media that college students rely on, and
new media has also brought about subversive changes and has become an essential …

Weakly-supervised fine-grained event recognition on social media texts for disaster management

W Yao, C Zhang, S Saravanan, R Huang… - Proceedings of the AAAI …, 2020 - aaai.org
People increasingly use social media to report emergencies, seek help or share information
during disasters, which makes social networks an important tool for disaster management …

Event early embedding: Predicting event volume dynamics at early stage

Z Liu, Y Yang, Z Huang, F Shen, D Zhang… - Proceedings of the 40th …, 2017 - dl.acm.org
Social media has become one of the most credible sources for delivering messages,
breaking news, as well as events. Predicting the future dynamics of an event at a very early …

Spatial event forecasting in social media with geographically hierarchical regularization

L Zhao, J Wang, F Chen, CT Lu… - Proceedings of the …, 2017 - ieeexplore.ieee.org
Social media has been utilized as a significant surrogate for spatial societal event
forecasting. The accuracy and discernibility of a spatial event forecasting model are two key …

A multi-feature probabilistic graphical model for social network semantic search

F Kou, J Du, C Yang, Y Shi, M Liang, Z Xue, H Li - Neurocomputing, 2019 - Elsevier
With the rapid development of social network platforms, more and more people are using
them to search for material related to their interests. As the texts of social media messages …

Event detection from Twitter–a survey

D Ramachandran… - International Journal of …, 2018 - emerald.com
Purpose “What's happening?” around you can be spread through the very pronounced
social media to everybody. It provides a powerful platform that brings to light the latest news …

Topicontiles: Tile-based spatio-temporal event analytics via exclusive topic modeling on social media

M Choi, S Shin, J Choi, S Langevin, C Bethune… - Proceedings of the …, 2018 - dl.acm.org
Detecting anomalous events of a particular area in a timely manner is an important task. Geo-
tagged social media data are useful resource for this task; however, the abundance of …

Contrastive Learning for Multimodal Classification of Crisis related Tweets

B Mandal, S Khanal, D Caragea - Proceedings of the ACM on Web …, 2024 - dl.acm.org
Multimodal tasks require learning a joint representation of the constituent modalities of data.
Contrastive learning learns a joint representation by using a contrastive loss. For example …