Topic Modeling: TopicNet Python Library
MIPT Machine Intelligence Laboratory employees present TopicNet project - a high-level wrapper over BigARTM. This framework is designed to standardise and combine the routine practices that arise during topic modelling and includes: enumerating model hyper-parameters, logging enumeration results, automating the selection of the best models at each stage, the ability to view and compare the quality of models with classical means of visualising thematic models.
At the presentation there will be a demonstration of working with TopicNet, after which students will be able to ask questions and learn more about the framework.
This presentation will be useful to anyone involved in (or planning to do) topic modelling and using the BigARTM library.
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