10:00 – 10:05 Opening Session
10:05 – 11:35 Session 1
- Alexander Dlikman and Mark Last. Using Machine Learning Methods and Linguistic Features in Single-Document Extractive Summarization
- Albin Zehe, Martin Becker, Lena Hettinger, Andreas Hotho, Isabella Reger and Fotis Jannidis. Prediction of Happy Endings in German Novels
- Julien Ah-Pine and Edmundo Pavel Soriano Morales. A Study of Synthetic Oversampling for Twitter Imbalanced Sentiment Analysis
11:35 – 11:50 Coffe Break
11:50 – 13:20 Session 2
- Julien Velcin, Mathieu Roche and Pascal Poncelet. Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features
- Christian Pölitz. Topic Models with Sparse and Group-Sparsity Inducing Priors
- Fu Xianghua, Wu Haiying and Cui Laizhong. Topic Sentiment Joint Model with Word Embeddings (no show)
13:40 – 14:40 lunch break
