tshi04 / SeaNMF
Short Text Topic Modeling
☆65Updated 6 years ago
Alternatives and similar repositories for SeaNMF:
Users that are interested in SeaNMF are comparing it to the libraries listed below
- Python interface for https://github.com/dice-group/Palmetto☆40Updated 2 years ago
- PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)☆38Updated 5 years ago
- ☆132Updated 3 years ago
- Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"☆31Updated 4 years ago
- PyTorch implementations of NVDM, GSM, NTM, NTMR☆74Updated 5 years ago
- This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.☆31Updated 4 years ago
- A tensorflow implementation of the neural variational topic,document model with Gaussian Softmax Construction (GSM).☆21Updated 5 years ago
- Short Text Topic Modeling, JAVA☆155Updated 4 years ago
- ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"☆24Updated 6 years ago
- Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.☆46Updated 6 years ago
- PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)☆36Updated 2 years ago
- Neural models for documents with metadata☆103Updated 4 years ago
- Source code for paper "Topic Modeling with Wasserstein Autoencoders".☆41Updated 5 years ago
- Hierarchical, multi-label topic modelling with LDA☆53Updated 2 years ago
- Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python☆121Updated 2 years ago
- Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.☆52Updated 5 years ago
- Python implemetation for Dirichlet Multinomial Mixture (DMM) model☆48Updated 3 years ago
- Source code and dataset of "Joint Modeling of Topics and Discourse in Microblog Conversations"☆34Updated 5 years ago
- ☆24Updated 6 years ago
- This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.☆31Updated 4 years ago
- The page lists recent research developments in the area of Stance Learning.☆53Updated last year
- ☆83Updated 4 years ago
- Cython implementations of Gibbs sampling for supervised LDA☆61Updated 7 years ago
- Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019☆29Updated 5 years ago
- AAAI 2019 paper: "Document Informed Neural Autoregressive Topic Models with Distributional Prior" (a Contextualized Neural Topic Model wi…☆18Updated 6 years ago
- [WWW 2020] Discriminative Topic Mining via Category-Name Guided Text Embedding☆50Updated 4 years ago
- Repo for MCMC based Dynamic Topic Model☆16Updated 7 years ago
- Code for Bursty Biterm Topic Model (published in AAAI2015)☆53Updated 5 years ago
- WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…☆81Updated 6 years ago
- Topic Modeling for Short Texts with Auxiliary Word Embeddings☆73Updated 6 years ago