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Extrapolation Reference

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Dynamic Topic Modeling (365_main_paper.pdf)

1.23 MBEN 10 pages
Dynamic Correlated Topic Models use stochastic variational inference to capture topic correlation and word co-occurrence evolution over time. Gaussian processes (GPs) enable modeling of temporal changes in topic correlations. This identifies shifts in topic relationships.

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