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1 Publikation
2021 | Konferenzbeitrag | FH-PUB-ID: 6951
M. Luber, C. Weisser, B. Säfken, A. Silbersdorff, T. Kneib, and K. 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, Virtual Event, 2021, pp. 33–49.
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