Topic Modeling
dselivanov/text2vec
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
๐งฌ Embeddings๐ง Natural Language Processing๐ Text Mining
ROtherupdated Dec 1, 2025
Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
$ git clone https://github.com/datquocnguyen/LFTM.gitFast vectorization, topic modeling, distances and GloVe word embeddings in R.
[NeurIPS 2024] A Fast, Adaptive, Stable, and Transferable Topic Model
Open Source Package for Gibbs Sampling of LDA
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Top2Vec learns jointly embedded topic, document and word vectors.
Data from GitHub ยท snapshot Sep 24, 2026