Using Transformer for Topic Modeling - what are the options?

This page summarizes the projects mentioned and recommended in the original post on /r/LanguageTechnology

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  • BERTopic

    Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  • What are the state-of-the-art libraries/models out there? So far I've looked into BERTopic (https://github.com/MaartenGr/BERTopic).

  • contextualized-topic-models

    A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

  • This library from MILA seems quite neat! I haven’t had the change to play with it though : https://github.com/MilaNLProc/contextualized-topic-models

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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