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1 Publikation
2021 | Konferenzbeitrag | FH-PUB-ID: 6951
Luber M, Weisser C, Säfken B, Silbersdorff A, Kneib T, Kis-Katos K. 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, eds. Disinformation in Open Online Media. MISDOOM 2021. Lecture Notes in Computer Science, Vol. 12887. Cham: Springer; 2021:33-49. doi:10.1007/978-3-030-87031-7_3
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