| Enriching semantic knowledge bases for opinion mining in big data applications A Weichselbraun, S Gindl, A Scharl Knowledge-based systems 69, 78-85, 2014 | 151 | 2014 |
| Semi-automatic ontology extension using spreading activation E Chang, W Liu, A Scharl, A Weichselbraun Journal of Universal Knowledge Management, 50-58, 2005 | 137 | 2005 |
| Extracting and grounding contextualized sentiment lexicons A Weichselbraun, S Gindl, A Scharl IEEE Intelligent Systems 28 (2), 39-46, 2013 | 135 | 2013 |
| Cross-domain contextualization of sentiment lexicons S Gindl, A Weichselbraun, A Scharl ECAI 2010, 771-776, 2010 | 62 | 2010 |
| An automated approach to investigating the online media coverage of US presidential elections A Scharl, A Weichselbraun Journal of Information Technology & Politics 5 (1), 121-132, 2008 | 62 | 2008 |
| Multiple coordinated views for searching and navigating web content repositories A Hubmann-Haidvogel, A Scharl, A Weichselbraun Information Sciences 179 (12), 1813-1821, 2009 | 60 | 2009 |
| Refining non-taxonomic relation labels with external structured data to support ontology learning A Weichselbraun, G Wohlgenannt, A Scharl Data & Knowledge Engineering 69 (8), 763-778, 2010 | 57 | 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 |
| Web content mining for comparing corporate and third‐party online reporting: a case study on solid waste management I Pollach, A Scharl, A Weichselbraun Business strategy and the environment 18 (3), 137-148, 2009 | 50 | 2009 |
| Analyzing the public discourse on works of fiction–Detection and visualization of emotion in online coverage about HBO’s Game of Thrones A Scharl, A Hubmann-Haidvogel, A Jones, D Fischl, R Kamolov, ... Information processing & management 52 (1), 129-138, 2016 | 48 | 2016 |
| 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 | 38 | 2010 |
| Discovery and evaluation of non-taxonomic relations in domain ontologies A Weichselbraun, G Wohlgenannt, A Scharl, M Granitzer, T Neidhart, ... International Journal of Metadata, Semantics and Ontologies 4 (3), 212-222, 2009 | 35 | 2009 |
| Semantic systems and visual tools to support environmental communication A Scharl, D Herring, W Rafelsberger, A Hubmann-Haidvogel, R Kamolov, ... IEEE Systems Journal 11 (2), 762-771, 2015 | 33 | 2015 |
| 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 |
| Dynamic integration of multiple evidence sources for ontology learning G Wohlgenannt, A Weichselbraun, A Scharl, M Sabou Journal of Information and Data Management 3 (3), 243-254, 2012 | 31 | 2012 |
| Analyzing news media coverage to acquire and structure tourism knowledge A Scharl, A Dickinger, A Weichselbraun Information technology & tourism 10 (1), 3-17, 2008 | 31 | 2008 |
| Media Watch on Climate Change--Visual Analytics for Aggregating and Managing Environmental Knowledge from Online Sources A Scharl, A Hubmann-Haidvogel, A Weichselbraun, HP Lang, M Sabou 2013 46th Hawaii International Conference on System Sciences, 955-964, 2013 | 29 | 2013 |
| From web intelligence to knowledge co-creation: A platform for analyzing and supporting stakeholder communication A Scharl, A Hubmann-Haidvogel, M Sabou, A Weichselbraun, HP Lang IEEE Internet Computing 17 (5), 21-29, 2013 | 27 | 2013 |
| Mining and leveraging background knowledge for improving named entity linking A Weichselbraun, P Kuntschik, AMP Braşoveanu Proceedings of the 8th International Conference on Web Intelligence, Mining …, 2018 | 22 | 2018 |
Arno ScharlMU Vienna; webLyzard technology; Storypactweblyzard.com의 이메일 확인됨