| Enriching semantic knowledge bases for opinion mining in big data applications A Weichselbraun, S Gindl, A Scharl Knowledge-based systems 69, 78-85, 2014 | 150 | 2014 |
| Extracting and grounding contextualized sentiment lexicons A Weichselbraun, S Gindl, A Scharl IEEE Intelligent Systems 28 (2), 39-46, 2013 | 131 | 2013 |
| Utilizing Facebook statistics in tourism demand modeling and destination marketing I Önder, U Gunter, S Gindl Journal of Travel Research 59 (2), 195-208, 2020 | 116 | 2020 |
| Cross-domain contextualization of sentiment lexicons S Gindl, A Weichselbraun, A Scharl ECAI 2010, 771-776, 2010 | 62 | 2010 |
| Aspect-based extraction and analysis of affective knowledge from social media streams A Weichselbraun, S Gindl, F Fischer, S Vakulenko, A Scharl IEEE Intelligent Systems 32 (3), 80-88, 2017 | 54 | 2017 |
| Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria U Gunter, I Önder, S Gindl Tourism Economics 25 (3), 375-401, 2019 | 52 | 2019 |
| MLSA―A Multi-layered Reference Corpus for German Sentiment Analysis S Clematide, S Gindl, M Klenner, S Petrakis, R Remus, J Ruppenhofer, ... University of Zurich, 2012 | 49 | 2012 |
| Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons A Weichselbraun, S Gindl, A Scharl Proceedings of the 20th ACM international conference on Information and …, 2011 | 40 | 2011 |
| A context-dependent supervised learning approach to sentiment detection in large textual databases A Weichselbraun, S Gindl, A Scharl Journal of Information and Data Management 1 (3), 329-329, 2010 | 37 | 2010 |
| Syntactical negation detection in clinical practice guidelines S Gindl, K Kaiser, S Miksch Studies in health technology and informatics 136, 187, 2008 | 34 | 2008 |
| Rule-based opinion target and aspect extraction to acquire affective knowledge S Gindl, A Weichselbraun, A Scharl proceedings of the 22nd international conference on world wide web, 557-564, 2013 | 33 | 2013 |
| Visualizing contextual and dynamic features of micropost streams A Hubmann-Haidvogel, AMP Brasoveanu, A Scharl, M Sabou, S Gindl | 17 | 2012 |
| Evaluation of different sentiment detection methods for polarity classification on web-based reviews S Gindl, J Liegl Proceedings of the 18th European conference on artificial intelligence, 35-43, 2008 | 17 | 2008 |
| Leveraging the wisdom of the crowds for the acquisition of multilingual language resources A Scharl, M Sabou, S Gindl, W Rafelsberger, A Weichselbraun | 15 | 2012 |
| Do DMOs communicate their emotional brand values? A comparison between Twitter and Facebook L Lalicic, A Huertas, A Moreno, S Gindl, M Jabreel Information and Communication Technologies in Tourism 2018: Proceedings of …, 2018 | 12 | 2018 |
| IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches J Ruppenhofer, JM Struß, J Sonntag, S Gindl Journal for Language Technology and Computational Linguistics 29 (1), 33-46, 2014 | 10 | 2014 |
| Generic high-throughput methods for multilingual sentiment detection S Gindl, A Scharl, A Weichselbraun 4th IEEE International Conference on Digital Ecosystems and Technologies …, 2010 | 10 | 2010 |
| DMOs’ Facebook success stories: a retrospective view L Lalicic, S Gindl Information and Communication Technologies in Tourism 2018: Proceedings of …, 2018 | 8 | 2018 |
| Incremental and scalable computation of dynamic topography information landscapes KAA Syed, M Kröll, V Sabol, S Gindl, A Scharl Journal of Multimedia Processing and Technologies 3 (1), 49-65, 2012 | 8 | 2012 |
| Viennese wineries on Facebook: Status quo and lessons learned L Lalicic, S Gindl Management and Marketing of Wine Tourism Business: Theory, Practice, and …, 2019 | 7 | 2019 |
