blei-lab / lda-cLinks
This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.
☆167Updated 9 years ago
Alternatives and similar repositories for lda-c
Users that are interested in lda-c are comparing it to the libraries listed below
Sorting:
- ☆196Updated 7 years ago
- Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.☆246Updated 7 years ago
- Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…☆147Updated 10 years ago
- A demo code for topical word embedding☆314Updated 7 years ago
- Implementation of various topic models☆371Updated 4 years ago
- Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm …☆146Updated 10 years ago
- ☆142Updated 5 years ago
- Latent Dirichlet Allocation (LDA) model for Microblogs (Twitter, weibo etc.)☆320Updated 7 years ago
- ☆266Updated 4 years ago
- Sentiment Analysis with Ensemble☆244Updated 9 years ago
- Online variational Bayes for latent Dirichlet allocation (LDA)☆304Updated 4 years ago
- Deep Averaging Networks☆237Updated 3 years ago
- Implements supervised topic models with a categorical response.☆64Updated 3 years ago
- LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary☆53Updated 9 years ago
- LSTM-CRF models for sequence labeling in text.☆174Updated 8 years ago
- Gaussian word embeddings☆189Updated 7 years ago
- Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes☆223Updated 6 years ago
- Dynamic Convolutional Neural Networks for Theano/Lasagne☆151Updated 8 years ago
- Word Mover's Distance from Matthew J Kusner's paper "From Word Embeddings to Document Distances"☆541Updated last year
- Extension of the original word2vec using different architectures☆212Updated 8 years ago
- This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.☆144Updated 10 years ago
- code for our paper Baselines and Bigrams: Simple, Good Sentiment and Topic Classification☆135Updated 9 years ago
- Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong …☆193Updated 9 years ago
- A Latent Dirichlet Allocation implementation in Python.☆51Updated 6 years ago
- Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)☆178Updated 8 years ago
- Naive Bayes SVM for Sentiment Analysis☆305Updated 8 years ago
- Machine Learning / Natural Language Processing / Information Retrieval☆713Updated 4 years ago
- Neural Topic Models☆69Updated 9 years ago
- Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"☆187Updated 8 years ago
- Entity Linking and Retrieval Tutorial☆167Updated 5 years ago