tshi04 / SeaNMF

Related projects: ⓘ

• YongfeiYan / Neural-Document-Modeling
  PyTorch implementations of NVDM, GSM, NTM, NTMR
  ☆73Updated 4 years ago
• dice-group / palmetto-py
  Python interface for https://github.com/dice-group/Palmetto
  ☆40Updated 2 years ago
• ahoho / kd-topic-models
  Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
  ☆31Updated 3 years ago
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆37Updated 4 years ago
• WANGXinyiLinda / Neural-Topic-Model-with-Attention-for-Supervised-Learning
  This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.
  ☆31Updated 4 years ago
• adjidieng / DETM
  ☆130Updated 3 years ago
• valdersoul / GraphBTM
  Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
  ☆45Updated 5 years ago
• pgcool / textTOvec
  ICLR 2019 paper: "textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR"
  ☆24Updated 5 years ago
• linkstrife / NVDM-GSM
  A tensorflow implementation of the neural variational topic,document model with Gaussian Softmax Construction (GSM).
  ☆21Updated 5 years ago
• awslabs / w-lda
  Source code for paper "Topic Modeling with Wasserstein Autoencoders".
  ☆41Updated 4 years ago
• qiang2100 / STTM
  Short Text Topic Modeling, JAVA
  ☆154Updated 4 years ago
• dallascard / scholar
  Neural models for documents with metadata
  ☆103Updated 4 years ago
• wangjin0818 / word_embedding_refine
  ☆24Updated 6 years ago
• KenHBS / LDA_thesis
  Hierarchical, multi-label topic modelling with LDA
  ☆53Updated last year
• yumeng5 / CatE
  [WWW 2020] Discriminative Topic Mining via Category-Name Guided Text Embedding
  ☆50Updated 3 years ago
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆81Updated 5 years ago
• Tixierae / EMNLP_2016
  ☆14Updated 7 years ago
• maxent-ai / lda2vec
  Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
  ☆29Updated 5 years ago
• sumeetkr / AwesomeStanceLearning
  The page lists recent research developments in the area of Stance Learning.
  ☆53Updated 10 months ago
• atefm / pDMM
  Python implemetation for Dirichlet Multinomial Mixture (DMM) model
  ☆48Updated 2 years ago
• m94h / dtm_gensim
  Dynamic Topic Modelling Tutorial Files
  ☆13Updated 9 years ago
• UKPLab / acl2019-BERT-argument-classification-and-clustering
  ☆83Updated 3 years ago
• JoeZJH / Labeled-LDA-Python
  Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
  ☆120Updated 2 years ago
• stangelid / oposum
  ☆100Updated 3 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆71Updated last year
• sheffieldnlp / stance-semeval2016
  USFD submission code for Semeval 2016 Task 6, Subtask B
  ☆26Updated 8 years ago
• yumeng5 / JoSH
  [KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
  ☆58Updated 3 years ago
• zengjichuan / Topic_Disc
  Source code and dataset of "Joint Modeling of Topics and Discourse in Microblog Conversations"
  ☆34Updated 5 years ago
• jackyin12 / GSDMM
  ☆20Updated 4 years ago
• rit-git / Snippext_public
  Snippext: Semi-supervised Opinion Mining with Augmented Data
  ☆59Updated last year