Development·December 2024·6 min read
BERTopic integration: automatic theme discovery in your corpora
How we integrated BERTopic for unsupervised topic modeling, enabling researchers to discover latent themes across large text collections without manual annotation.
Antonio J. Moreno OrtizPrincipal Investigator, Tecnolengua
Article image
Topic modeling has long been a staple of computational text analysis. With BERTopic, we bring state-of-the-art transformer-based topic discovery directly into CorpusSense.
Why BERTopic?
Unlike traditional LDA-based approaches, BERTopic leverages sentence embeddings and HDBSCAN clustering to discover more coherent and interpretable topics. It handles short texts better and produces more meaningful topic representations.
Our integration allows researchers to run topic modeling on any corpus or subcorpus, visualize topic distributions, and explore relationships between discovered themes.
BERTopicTopic ModelingNLP