In this paper, we develop the continuous time dynamic topic model (cDTM). The cDTM is a dynamic topic model that uses Brownian motion to model the latent topics through a sequential collection of ...
Abstract: Dynamic topic models are techniques used to uncover latent topic evolution from large-scale sequential text. Existing models typically encode documents as word sequences. However, due to the ...
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