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Topic Modeling To Contextualize Event-Based Datasets : T..:
, In:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities
,
Daughton, Ashlynn R.
;
Fairchild, Geoffrey
;
Watson Ross, Chrysm
. - p. 9-12 , 2019
Link:
https://dl.acm.org/doi/10.1145/3356395.3365540
RT T1 <cTitle>Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities</cTitle>: T1 <Title>Topic Modeling To Contextualize Event-Based Datasets : The Colombian Peace Process</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3365540&Exemplar=1&LAN=DE A1 Daughton, Ashlynn R. A1 Fairchild, Geoffrey A1 Watson Ross, Chrysm A1 Del Valle, Sara Y. PB ACM YR 2019 K1 Colombia peace process K1 Integrated Crisis Early Warning System (ICEWS) K1 Latent Dirichlet Allocation (LDA) K1 Twitter K1 social media K1 topic modeling K1 unsupervised learning K1 Human-centered computing K1 Collaborative and social computing K1 Empirical studies in collaborative and social computing K1 Collaborative and social computing systems and tools K1 Social networking sites SP 9 OP 12 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3356395.3365540 DO https://dl.acm.org/doi/10.1145/3356395.3365540 SF ELIB - SuUB Bremen
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