We present a multilingual, open source system for cancer forum thread analysis, equipped with a biomedical entity tagger and a module for textual summarization. This system allows users to investi- gate textual co-occurrences of biomedical entities in forum posts, and to browse through summaries of long …

In this paper, we show our vision on prescriptive analytics. Prescriptive analytics is a field of study in which the actions are determined that are required in order to achieve a particular goal. This is different from predictive analytics, where we only determine what will happen if we continue current …

In this short paper, we address the interpretability of hidden layer representations in deep text mining: deep neural networks applied to text mining tasks. Following earlier work predating deep learning methods, we exploit the internal neural network activation (latent) space as a source for performing …