Predicting political opinions in social networks with user embeddings

As social media becomes the prevalent way of expressing one's opinions, the capacity to analyze user behavioral patterns and trends becomes increasingly important. In this work we propose a method for embedding the opinions of social media users in low-dimensional vectors and explore some potential applications. Our proposal is general, in the sense that it can be easily adapted to a variety of use cases and social networks.