"Identifying Topical Shifts in Twitter Streams: An Integration of ..."

Mattias Luber et al. (2021)

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DOI: 10.1007/978-3-030-87031-7_3

access: closed

type: Conference or Workshop Paper

metadata version: 2021-10-05

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  - conf/misdoom/LuberWSSKK21
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  - https://dblp.org/rec/conf/misdoom/LuberWSSKK21
Mattias Luber, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib, 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. MISDOOM 2021: 33-49

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