BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
About this project
BERTopic BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions. BERTopic supports all kinds of topic modeling techniques: Guided Supervised Semi-supervised Manual Multi-topic distributions Hierarchical Class-based Dynamic Online/Incremental Multimodal Multi-aspect Text Generation/LLM Zero-shot (new!) Merge Models (new!) Seed Words (new!) Corresponding medium posts can be found here, here and here. For a more detailed overview, you can read the paper or see a brief overview.…
Technologies
Project health
GitHub
Reviews
Built by
Maintain MaartenGr/BERTopic? Claiming verifies admin access through your GitHub account and gives you control of this listing.
