Michael Wiegand - Concepedia

Author

Michael Wiegand

Saarland University ORCID

Also Known As

Frank Hlzle, M. C. Wiegand, Michael Wiegand, Wiegand, Michael

156

Publications

2.9K

Citations

H-Index

Concepts

All Affiliations

Saarland University University of Hildesheim Leibniz Institute for the German Language University of Klagenfurt University of Zurich

About

Michael Wiegand is an author at Saarland University specializing in natural language processing, linguistics, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	13	2K
2	Language Studies	11	11	1.9K
3	Arts	1	1	32
4	Management	1	1	32
5	Public Health	1	1	32

Michael Wiegand

Publications

2.4K

Citations

H-Index

Page 1

	Year	Citations
A Survey on Hate Speech Detection using Natural Language Processing Anna Grau Schmidt, Michael Wiegand Natural Language ProcessingAbuse DetectionHate SpeechEngineeringSpeech Analysis	2017	1.4K
Overview of the GermEval 2018 Shared Task on the Identification of Offensive Language Michael Wiegand, Melanie Siegel, Josef Ruppenhofer Publication Server of the Institute for German Language (Institute for German Language) Shared TaskAbuse DetectionEngineeringCommunicationCorpus Linguistics	2019	237
A survey on the role of negation in sentiment analysis Michael Wiegand, Alexandra Balahur, Benjamin Roth, Publication Server of the Institute for German Language (Institute for German Language)	2010	212
Inducing a Lexicon of Abusive Words – a Feature-Based Approach Michael Wiegand, Josef Ruppenhofer, Anna Grau Schmidt, Applied LinguisticsNatural Language ProcessingNatural LanguageEngineeringHuman Language Technologies	2018	148
Convolution Kernels for Opinion Holder Extraction Michael Wiegand, Dietrich Klakow Publication Server of the Institute for German Language (Institute for German Language) EngineeringMultimodal Sentiment AnalysisSentiment AnalysisText MiningNatural Language Processing	2010	72
A survey of noise reduction methods for distant supervision Benjamin Roth, Tassilo Barth, Michael Wiegand, EngineeringMachine LearningCorpus LinguisticsSentiment AnalysisText Mining	2013	60
Implicitly Abusive Language – What does it actually look like and why are we not getting there? Michael Wiegand, Josef Ruppenhofer, Elisabeth Eder EngineeringElisabeth EderRhetoricCommunicationSemantics	2021	35
Effective Slot Filling Based on Shallow Distant Supervision Methods Benjamin Roth, Tassilo Barth, Michael Wiegand, arXiv (Cornell University) Intelligent Information ProcessingEngineeringMachine LearningCorpus LinguisticsText Mining	2014	33
Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments Julian Risch, Anke Stoll, Lena Wilms, Shared TaskRisk CommunicationFact-claiming CommentsHealth CommunicationGermeval 2021	2021	32
MLSA ― A Multi-layered Reference Corpus for German Sentiment Analysis Simon Clematide, Stefan Gindl, Manfred Klenner, Zurich Open Repository and Archive (University of Zurich)	2012	26

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