A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Palmetto is a quality measuring tool for topics

Contextualised Topic Coherence Metrics: A new way to evaluate neural topic models.

Toefel grader

Exploratory data analysis and Natural Language Processing techniques applied to a corpus of emails to identify the key topics and their frequencies

Diffusion-guided topic modeling using semantic embeddings and unsupervised learning. Combines Sentence-BERT, diffusion models, and clustering to discover coherent topics, generate topic-conditioned text, visualize topic structures, and compare with traditional methods.