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1 Publikation
2021 | Konferenzbeitrag | FH-PUB-ID: 6951
Luber, Mattias, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib, and Krisztina Kis-Katos. “Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale Data.” In Disinformation in Open Online Media. MISDOOM 2021, edited by Jonathan Bright, Anastasia Giachanou, Viktoria Spaiser, Francesca Spezzano, Anna George, and Alexandra Pavliuc, 33–49. Lecture Notes in Computer Science, Vol. 12887. Cham: Springer, 2021. https://doi.org/10.1007/978-3-030-87031-7_3.
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