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1 Publikation
2021 | Konferenzbeitrag | FH-PUB-ID: 6951
@inproceedings{Luber_Weisser_Säfken_Silbersdorff_Kneib_Kis-Katos_2021, place={Cham}, series={Lecture Notes in Computer Science, Vol. 12887}, title={Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale Data}, DOI={10.1007/978-3-030-87031-7_3}, booktitle={Disinformation in Open Online Media. MISDOOM 2021}, publisher={Springer}, author={Luber, Mattias and Weisser, Christoph and Säfken, Benjamin and Silbersdorff, Alexander and Kneib, Thomas and Kis-Katos, Krisztina}, editor={Bright, Jonathan and Giachanou, Anastasia and Spaiser, Viktoria and Spezzano, Francesca and George, Anna and Pavliuc, Alexandra Editors}, year={2021}, pages={33–49}, collection={Lecture Notes in Computer Science, Vol. 12887} }
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