Subject
3 entries
Topic Modeling
Bookmarks
BERTopic: BERT-Based Topic Modeling
BERTopic is the leading open-source topic modeling library using sentence embeddings and clustering rather than word co-occurrence statistics — produces coherent, human-readable topics that LDA-style models often can't. The changelog tracks its evolution as the library added new backends and features.
BERTopic: The Future of Topic Modeling
A Pinecone explainer on BERTopic — a topic modeling library that uses transformer embeddings instead of bag-of-words statistics, producing semantically coherent topics. BERTopic largely made LDA obsolete for practitioners who have access to modern embeddings.
Topic Modeling of Twitter Followers
A tutorial applying LDA topic modeling to Twitter follower descriptions to segment an audience by interest — one of the cleaner early examples of using unsupervised NLP to understand social media audiences programmatically.