{"library":"bertopic","type":"library","category":null,"description":"BERTopic is a topic modeling technique that leverages state-of-the-art transformer models (like BERT) and a class-based TF-IDF procedure to create dense clusters, resulting in easily interpretable topics while retaining important words in their descriptions. It is currently at version 0.17.4 and actively maintained with regular updates and feature enhancements.","language":"python","status":"active","version":"0.17.4","tags":["topic-modeling","nlp","transformers","machine-learning","unsupervised-learning","bert"],"last_verified":"Sat May 23","install":[{"cmd":"pip install bertopic","imports":["from bertopic import BERTopic"]},{"cmd":"pip install bertopic[flair,gensim,spacy,use]","imports":[]},{"cmd":"pip install bertopic[vision]","imports":[]}],"homepage":null,"github":"https://github.com/MaartenGr/BERTopic","docs":"https://maartengr.github.io/BERTopic/","changelog":null,"pypi":"https://pypi.org/project/bertopic/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":0,"avg_install_s":null,"avg_import_s":null,"wheel_type":null},"url":"https://checklist.day/v1/registry/bertopic/compatibility"}}