Social Media-based User Embedding: A Literature Review

Shimei Pan, Tao Ding
2019 Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence  
Automated representation learning is behind many recent success stories in machine learning. It is often used to transfer knowledge learned from a large dataset (e.g., raw text) to tasks for which only a small number of training examples are available. In this paper, we review recent advance in learning to represent social media users in low-dimensional embeddings. The technology is critical for creating high performance social media-based human traits and behavior models since the ground truth
more » ... for assessing latent human traits and behavior is often expensive to acquire at a large scale. In this survey, we review typical methods for learning a unified user embeddings from heterogeneous user data (e.g., combines social media texts with images to learn a unified user representation). Finally we point out some current issues and future directions.
doi:10.24963/ijcai.2019/881 dblp:conf/ijcai/PanD19 fatcat:inw55rewvzh5nckevzvrsexwii