corex_topic
Topic modeler
An implementation of an unsupervised topic modeling algorithm that leverages domain knowledge to generate informative topics from sparse count data.
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
627 stars
29 watching
120 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
information-theorymachine-learningpythontopic-modelingunsupervised-learning
keon/awesome-nlpRelated projects:
| Repository | Description | Stars |
|---|---|---|
 trinker/topicmodels_learning | A repository of resources and tools for learning and applying topic models in R | 228 |
 vi3k6i5/guidedlda | A tool for generating topics from text data using a guided topic modeling approach with customizable seed words. | 499 |
 slycoder/topicmodels.jl | Software package implementing Bayesian topic modeling in Julia using Latent Dirichlet Allocation (LDA) model | 38 |
 agoldst/dfrtopics | An R package for creating and exploring topic models of text data | 47 |
 x-tabdeveloping/topicwizard | A tool for visualizing and interacting with topic models in text data | 103 |
 largelymfs/topical_word_embeddings | A codebase implementing topical word embeddings using various NLP techniques as demonstrated in a paper accepted by AAAI'15. | 315 |
 dongwookim-ml/python-topic-model | An implementation of various topic modeling algorithms in Python | 369 |
 ealdent/lda-ruby | A Ruby wrapper around an existing C implementation of Latent Dirichlet Allocation (LDA) for topic modeling in natural language processing. | 133 |
 primaryobjects/lda | A JavaScript library that uses Latent Dirichlet allocation to model topics in text data | 291 |
 cpsievert/ldavis | An R package for visualizing and exploring topic models from text data | 556 |
 matthewjdenny/contentstructure | An R package implementing an extension to the TPME model with added features and extensions | 6 |
 bigartm/bigartm | A platform for topic modeling using additive regularization of topic models | 662 |
 nvidia/sentiment-discovery | Large-scale unsupervised language modeling for robust sentiment classification and related NLP tasks | 1,062 |
 locuslab/e2e-model-learning | Develops an approach to learning probabilistic models in stochastic optimization problems | 200 |
 giuse/data_modeler | A tool for creating generative machine learning models based on data preprocessing and configuration files | 1 |