The potential benefits of mining social media to learn about adverse drug reactions (ADRs) are rapidly increasing with the increasing popularity of social media. Unknown ADRs hav...
Abstract—I present the outline for my dissertation work, Social Hierarchical Learning (SHL). SHL leverages and extends the capabilities of state-of-the-art hierarchical learning ...
The recent rise of smart applications has drawn interest to logical reasoning over data streams. Different query languages and stream processing/reasoning engines were proposed. H...
Harald Beck, Minh Dao-Tran, Thomas Eiter, Michael ...
We demonstrate an approach to predict latent personal attributes including user demographics, online personality, emotions and sentiments from texts published on Twitter. We rely ...
Svitlana Volkova, Yoram Bachrach, Michael Armstron...
Information diffusion, which studies how information is propagated in social networks, has attracted considerable research effort recently. However, most existing approaches do no...
Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Su...