Stefan Gindl
Dr. Stefan Gindl
Assistant Professor/Senior Researcher
MODUL University Vienna
School of New Media Technology
T: +43-1-3203555-540
Room Number
A3
Short Bio
Dr. Stefan Gindl is a senior researcher in the Department of New Media Technology at MODUL University Vienna. He originally studied medical Informatics, but his master thesis "Negation Detection in Clinical Practice Guidelines" kindled his interest in Natural Language Processing. Text mining and artificial intelligence are his research areas since many years and resulted in his PhD on Sentiment Analysis. The core of his work was the creation of so-called contextualized sentiment lexicons, which yield a significant improvement over traditional sentiment lexicons thanks to their increased understanding of subtle semantic nuances.
Professional Activities
- Organizer of the 2nd Workshop on Practice and Theory of Opinion Mining and Sentiment Analysis (PATHOS-2013)
- Organizer of the 1st Workshop on Practice and Theory of Opinion Mining and Sentiment Analysis (PATHOS-2012)
- Co-Chair of the Interest Group on German Sentiment Analysis
Assorted Selection of Publications
- Weichselbraun, Albert and Gindl, Stefan and Fischer, Fabian and Vakulenko, Svitlana and Scharl, Arno (2016) "Aspect-Based Extraction and Analysis of Affective Knowledge from Social Media Streams". IEEE Intelligent Systems . (In Press)
- Weichselbraun, Albert and Gindl, Stefan and Scharl, Arno (2014) "Enriching Semantic Knowledge Bases for Opinion Mining in Big Data Applications". Knowledge-Based Systems, 69. pp. 78-85.
- Weichselbraun, A., Gindl, S., Scharl, A. (2013), "Extracting and Grounding Context-Aware Sentiment Lexicons", IEEE Intelligent Systems, 28 (2), pp 39-46.
- Gindl, Stefan and Weichselbraun, Albert and Scharl, Arno (2013) "Rule-based Opinion Target and Aspect Extraction to Acquire Affective Knowledge". In: WWW Workshop on Multidisciplinary Approaches to Big Social Data Analysis (MABSDA-2013).
- Weichselbraun, Albert and Scharl, Arno and Gindl, Stefan (2016) "Extracting Opinion Targets from Environmental Web Coverage and Social Media Streams". In: 49th Hawaii International Conference on System Sciences (HICSS-2016), Kauai, USA.
- Clematide, S., Gindl, S., Klenner, M., Petrakis, S., Remus, R., Ruppenhofer, J., Waltinger U. and Wiegand, M. (2012). "MLSA ― A Multi-layered Reference Corpus for German Sentiment Analysis", Language Resources and Evaluation Conference (LREC-2012). Istanbul, Turkey.
- Scharl, A., Sabou, M., Gindl, S., Rafelsberger, W., Weichselbraun, A. (2012). “Leveraging the Wisdom of the Crowds for the Acquisition of Multilingual Language Resources“, Language Resources and Evaluation Conference (LREC-2012). Istanbul, Turkey.
- Weichselbraun, A., Gindl, S. and Scharl, A. (2011). “Using Games with a Purpose and Bootstrapping to Create Domain-Specific Sentiment Lexicons“, 20th ACM Conference on Information and Knowledge Management (CIKM-2011). Glasgow, UK: Association for Computing Machinery: 1053-1060.
- Gindl, S., Weichselbraun, A. and Scharl, A. (2010). “Cross-Domain Contextualization of Sentiment Lexicons”, 19th European Conference on Artificial Intelligence (ECAI-2010). H. Coelho et al. Lisbon, Portugal: IOS Press: 771-776.
Further Information
Find here a more extensive list of publications.