Text As Data Python Packages

topica

40+ validated topic models for computational social science, behind one NumPy-native interface: covariate effects on topic prevalence and content, shared diagnostics, reproducible fits. LDA, STM, CTM, keyATM, BERTopic, ETM, and more on a parallel Rust core. One wheel, no JVM, no PyTorch.

scattertext

Beautiful visualizations of how language differs among document types.

textnets

Text analysis with networks.

contextualized-topic-models

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.).

shifterator

Interpretable data visualizations for understanding how texts differ at the word level