Topic Modelling for Humans
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Updated
Jun 12, 2024 - Python
Topic Modelling for Humans
Machine learning, in numpy
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
A Toolkit for Industrial Topic Modeling
Top2Vec learns jointly embedded topic, document and word vectors.
Beautiful visualizations of how language differs among document types.
Open Source Package for Gibbs Sampling of LDA
Resources for learning about Text Mining and Natural Language Processing
A Python toolbox for gaining geometric insights into high-dimensional data
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Machine Learning Lectures at the European Space Agency (ESA) in 2018
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.).
R package for web-based interactive topic model visualization.
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Fast topic modeling platform
semi supervised guided topic model with custom guidedLDA
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
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