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Probabilistic Model of Narratives Over Topical Trends in So..:

, In: Proceedings of the 31st ACM Conference on Hypertext and Social Media,

Oghaz, Toktam A. ; Mutlu, Ece Çiğdem ; Jasser, Jasser.. - p. 281-290 , 2020

Link: https://dl.acm.org/doi/10.1145/3372923.3404790

RT 
T1 <cTitle>Proceedings of the 31st ACM Conference on Hypertext and Social Media</cTitle>: T1 <Title>Probabilistic Model of Narratives Over Topical Trends in Social Media				: A Discrete Time Model</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3404790&Exemplar=1&LAN=DE
				
A1 Oghaz, Toktam A.
A1 Mutlu, Ece Çiğdem
A1 Jasser, Jasser
A1 Yousefi, Niloofar
A1 Garibay, Ivan
PB ACM
YR 2020
K1 extractive text summarization
K1 graphical models
K1 narrative extraction
K1 online social media
K1 topic detection and tracking
K1 topic modeling
K1 Information systems
K1 Information systems applications
K1 Data mining
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
K1 Information extraction
K1 Machine learning
K1 Learning paradigms
K1 Unsupervised learning
K1 Topic modeling
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic reasoning algorithms
K1 Markov-chain Monte Carlo methods
K1 Gibbs sampling
K1 Networks
K1 Network types
K1 Overlay and other logical network structures
K1 Online social networks
SP 281
OP 290
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3372923.3404790
DO https://dl.acm.org/doi/10.1145/3372923.3404790
SF ELIB - SuUB Bremen

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