| Vol-1646 urn:nbn:de:0074-1646-4 Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# DMNLP 2016
Interactions between Data Mining and Natural Language Processing 2016

### Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing 2016
co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016)

### Riva del Garda, Italy, September 23, 2016.

Edited by

### Peggy Cellier (1)
Thierry Charnois (2)
Andreas Hotho (3)
Stan Matwin (4)
Marie-Francine Moens (5)
Yannick Toussaint (6)

(1) INSA Rennes, IRISA, Campus Beaulieu, 35042 Rennes cedex, France. E-mail: peggy.cellier@irisa.fr
(2) Université Paris 13 Sorbonne Paris Cité, LIPN CNRS, Av J.B. Clément, 93430 Villetaneuse, France. Thierry.Charnois@lipn.univ-paris13.fr
(3) University of Würzburg, Am Hubland, 97074 Würzburg, Germany. E-mail: hotho@informatik.uni-wuerzburg.de
(4) Faculty of Computer Science, Dalhousie University, 6050 University Ave., P.O. Box 15000, Halifax Nova Scotia, B3H 4R2 Canada. E-mail: stan@cs.dal.ca
(5) Department of Computer Science, KU Leuven, Celestijnenlaan 200A, B-3001 Heverlee, Belgium. E-mail: sien.moens@cs.kuleuven.be
(6) INRIA Nancy Grand-Est, LORIA, 615 Rue du Jardin Botanique, 54600 Villers-lès-Nancy, France. E-mail: Yannick.Toussaint@loria.fr

## Table of Contents

- Preface
- Organization
- Complete Proceedings (link)

### Papers

- Using Machine Learning Methods and Linguistic Features in Single-Document Extractive Summarization 1-8
  Alexander Dlikman, Mark Last
- Prediction of Happy Endings in German Novels 9-16
  Albin Zehe, Martin Becker, Lena Hettinger, Andreas Hotho, Isabella Reger, Fotis Jannidis
- A Study of Synthetic Oversampling for Twitter Imbalanced Sentiment Analysis 17-24
  Julien Ah-Pine, Edmundo Pavel Soriano Morales
- Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features 25-32
  Julien Velcin, Mathieu Roche, Pascal Poncelet
- Topic Models with Sparse and Group-Sparsity Inducing Priors 33-40
  Christian Pölitz
- Topic Sentiment Joint Model with Word Embeddings 41-48
  Fu Xianghua, Wu Haiying, Cui Laizhong

2016-07-28: submitted by Peggy Cellier, metadata incl. bibliographic data published under Creative Commons CC0
2016-07-28: published on CEUR-WS.org |valid HTML5|