BERTopic
Leveraging transformers and c-TF-IDF to create easily interpretable topic clusters from text.
Why consider BERTopic?
BERTopic is an open-source topic modeling technique written in Python by Maarten Grootendorst. Combining Hugging Face Transformers and class-based TF-IDF (c-TF-IDF), BERTopic clusters large collections of customer feedback, support conversations, and social threads into distinct marketing topics.
Learn BERTopic by building
Practical setup notes, real use cases, and copy-ready examples in one focused guide.
In this guide2 sections
Overview of BERTopic
BERTopic clusters customer reviews and social complaints into actionable marketing themes.
Quickstart
pip install bertopicfrom bertopic import BERTopictopic_model = BERTopic()topics, probs = topic_model.fit_transform(customer_reviews)print(topic_model.get_topic_info())BERTopic is licensed under the permissive MIT License.
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