Lda 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.

womg-core

WoMG: Word of Mouth Generator

kwx

BERT, LDA, and TFIDF based keyword extraction in Python

wikirec

Recommendation engine framework based on Wikipedia data

stream-topic

ACL 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.

womg

WoMG: Word of Mouth Generator

dynamic-topic-modeling

dynamic topic modeling

hlda

Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

nlg-yongzhuo

中文文本摘要（text summarization）工具包, 抽取式中文文本摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit）

dariah

A Python library for topic modeling and visualization

sptm

Sentence Topic Prediction using Topic Modeling

simple-lda

:bookmark: simple lda - latent dirichlet allocation

pylda2vec

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

insurance-lda-risk

LDA probabilistic risk profiling — latent risk archetypes, portfolio mix drift, book-transfer segmentation

data-science-bowl-2019

The notebooks for the competition Data Science Bowl 2019

dimensionality-reduction-package

Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.

cusim

Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)

robics

Automatic detection of robust parametrizations for LDA and NMF. Compatible with scikit-learn and gensim.