laserwave / lda_variational_emLinks
a python implementation of latent dirichlet allocation(lda) using variational EM algorithm
☆28Updated 9 years ago
Alternatives and similar repositories for lda_variational_em
Users that are interested in lda_variational_em are comparing it to the libraries listed below
Sorting:
- Learning Rank☆78Updated 8 years ago
- Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf☆57Updated 7 years ago
- Code for Bursty Biterm Topic Model (published in AAAI2015)☆53Updated 6 years ago
- Tensorflow implementation for prodLDA and NVLDA.☆255Updated 4 years ago
- Topic Models with Dirichlet-multinomial Regression☆41Updated 9 years ago
- Neural Tensor Network Implementation as a keras layer☆59Updated 8 years ago
- LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary☆53Updated 9 years ago
- Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.☆52Updated 6 years ago
- The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mech…☆287Updated 2 years ago
- Jointly Modelling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)☆57Updated 10 years ago
- A demo code for topical word embedding☆314Updated 7 years ago
- Sentence2vec by Rock☆311Updated 6 months ago
- Train and visualize Hierarchical Attention Networks☆203Updated 7 years ago
- Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes☆223Updated 6 years ago
- PLSA implementation via EM algorithm☆84Updated 10 years ago
- neural variational document model☆131Updated 7 years ago
- Demo code for the paper STC2 which released three short text datasets for clustering and classification☆117Updated 7 years ago
- 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
- Tensorflow code to train TDLM☆138Updated 7 years ago
- Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"☆146Updated 2 years ago
- Biterm topic model☆24Updated 10 years ago
- Code for Online Biterm Topic Model (published in TKDE2014)☆65Updated 10 years ago
- Implementation of various topic models☆371Updated 5 years ago
- Cython implementations of Gibbs sampling for supervised LDA☆61Updated 8 years ago
- code for iclr workshop paper "Learning Document Embedding by Predicting N-grams for Sentiment Classification of Long Movie Reviews"☆25Updated 9 years ago
- My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/…☆184Updated 7 years ago
- A Latent Dirichlet Allocation implementation in Python.☆51Updated 6 years ago
- This released code corresponds to TACL paper "attentive convolution". Attentive Convolution aims to generate a vector for two sentences.☆105Updated 7 years ago
- Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks☆138Updated 8 years ago
- Neural Topic Models☆69Updated 9 years ago