A Topic Modeling System Toolkit

A Fast, Adaptive, Stable, and Transferable Topic Model

Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).

A versatile Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in the social sciences, STREAM simplifies the extraction, interpretation, and visualization of topics from large, complex datasets.

Code for On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (AAAI 2024)

Neural text clustering solution to automatically group and label sensitive, confidential, and personal information types, making it easier to manage and secure.