TopicNet - Making Additive Regularisation for Topic Modelling Accessible.

LREC(2020)

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摘要
This paper introduces TopicNet, a new Python module for topic modelling. This package, distributed under the MIT license, focuses on bringing additive regularization for topic modelling (ARTM) to non-specialists using a general-purpose high-level language. The module features include powerful model visualization techniques, various training strategies, semi-automated model selection, support for user-defined goal metrics, and a modular approach to topic model training.
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关键词
topic modelling, Python, supervised learning, unsupervised learning, latent Dirichlet allocation, additive regularization for topic modelling, BigARTM
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