Lda Python Packages

dynamic-topic-modeling

Run dynamic topic modeling

womg-core

Word-of-Mouth cascades Generator

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.

kwx

BERT, LDA, and TFIDF based keyword extraction in Python

womg

Word-of-Mouth cascades Generator

data-science-bowl-2019

The notebooks for the competition Data Science Bowl 2019

hlda

Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model. This is based on the hLDA implementation from Mallet, having a fixed depth on the nCRP tree.

dariah

A Python library for topic modeling and visualization

simple-lda

:bookmark: simple lda - latent dirichlet allocation

sptm

Sentence Topic Prediction using Topic Modeling

cusim

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

pylda2vec

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

dimensionality-reduction-package

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

insurance-lda-risk

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

robics

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

nlg-yongzhuo

text-summarization of extractive, include text_pronouns, text_teaser, mmr, text_rank, lead3, lda, lsi, nmf