Feb 23, 2017 · In this paper, we formalize the problem of inferring location from social media into a semi-supervised factor graph model (SSFGM). The model ...

May 10, 2019 · ABSTRACT. We study the extent to which we can infer users' geographical locations from social media. Location inference from social me-.

Qian et al. (2017) proposed a probabilistic model, integrating the content and network features learned from social media, to predict the location of a user.

We study the extent to which we can infer users' geographical locations from social media. Location inference from social media can benefit many ...

May 14, 2019 · Bibliographic details on A Probabilistic Framework for Location Inference from Social Media.

In this paper, we propose a novel probabilistic model based on factor graphs for location inference that offers several unique advantages for this task. First, ...

Mar 1, 2017 · In this paper, we propose a novel probabilistic model based on factor graphs for location inference that offers several unique advantages for ...

Various location prediction methods can have different goals. Some approaches predict users' residence locations, some infer the location a user is talking ...

In this paper, we present a simple and flexible unified framework called SocialKB for modeling social media posts and reasoning about them to ascertain their ...

In this article, we propose a probabilistic generative model to mine latent lifestyle-related patterns from human trajectory data for inferring social strength.