Scalable inference of topic evolution via models for latent geometric structures

    NeurIPS, pp. 5949-5959, 2019.

    Cited by: 3|Bibtex|Views11|
    EI
    Keywords:
    bernoulli process

    Abstract:

    We develop new models and algorithms for learning the temporal dynamics of the topic polytopes and related geometric objects that arise in topic model based inference. Our model is nonparametric Bayesian and the corresponding inference algorithm is able to discover new topics as the time progresses. By exploiting the connection between th...More

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