15 best Python Topic Modelling libraries in 2022

Topic Modelling for Humans

A library for Multilingual Unsupervised or Supervised word Embeddings

Text preprocessing, representation and visualization from zero to hero.

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

A curated list of pretrained sentence and word embedding models

Beautiful visualizations of how language differs among document types.

Simple web service providing a word embedding model

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Topic modeling with latent Dirichlet allocation using Gibbs sampling

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.

Topic Modeling in Embedding Spaces

semi supervised guided topic model with custom guidedLDA

Dynamic Topic Modeling via Non-negative Matrix Factorization

Topic modeling with gensim and LDA