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1 Publikation
2021 | Konferenzbeitrag | FH-PUB-ID: 6951
Luber, Mattias ; Weisser, Christoph ; Säfken, Benjamin ; Silbersdorff, Alexander ; Kneib, Thomas ; Kis-Katos, Krisztina: Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale Data. In: Bright, J. ; Giachanou, A. ; Spaiser, V. ; Spezzano, F. ; George, A. ; Pavliuc, A. (Hrsg.): Disinformation in Open Online Media. MISDOOM 2021, Lecture Notes in Computer Science, Vol. 12887. Cham : Springer, 2021, S. 33–49
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