Jul 25, 2020 · The hybrid attention mechanism is introduced to automatically determine the importance of texts and social networks for each user while social ...

Jul 25, 2020 · The hybrid attention mechanism is introduced to automatically determine the importance of texts and social networks for each user while social.

This work proposes a novel end-to-end framework, Hybrid-attentive User Geolocation (HUG), to jointly model post texts and user interactions in social media, ...

This approach is scalable to large datasets and provides a natural representation of model confidence. Our method is tested against other approaches and we ...

Social Media User Geolocation via Hybrid Attention ; Proceedings of the 43rd International ACM SIGIR conference on research and development in Information ...

Jul 25, 2020 · Papertalk is an open-source platform where scientists share video presentations about their newest scientific results - and watch, ...

Abstract. Recent studies have demonstrated inspiring success in leveraging geo-tagged social media data for applications such as event detection, ...

Geolocation, predicting the location of a post based on text and other information, has a huge potential for several social media appli- cations.

In this article, we create a hybrid method that uses Twitter content and network information jointly as model features. We use Gaussian mixture models to map ...

Dec 8, 2022 · GT-HAN [21]: GT-HAN is a hybrid model based on attention networks, where it first utilizes a geographical–temporal attention network to learn ...