Michael Wiegand
About
Michael Wiegand has authored 44 papers that have received a total of 808 indexed citations.
This includes 41 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Information Systems. The topics of these papers are Topic Modeling (28 papers), Natural Language Processing Techniques (22 papers) and Sentiment Analysis and Opinion Mining (20 papers). Michael Wiegand is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (22 papers) and Sentiment Analysis and Opinion Mining (20 papers) and collaborates with scholars based in Germany, Austria and Spain. Michael Wiegand's co-authors include Josef Ruppenhofer, Dietrich Klakow, Benjamin Roth, Katja Markert and Esther van den Berg and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Natural Language Engineering
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