samiroid / usr2vec
Learning User Representations
☆23Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for usr2vec
- Code for Bursty Biterm Topic Model (published in AAAI2015)☆53Updated 5 years ago
- LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary☆51Updated 8 years ago
- Code for Online Biterm Topic Model (published in TKDE2014)☆65Updated 9 years ago
- Topic Modeling for Short Texts with Auxiliary Word Embeddings☆72Updated 6 years ago
- Benchmarking text classification algorithms☆64Updated 7 years ago
- Multiclass Naive Bayes SVM (NB-SVM) - Learns a multiclass classifier (OneVsRest) based on word ngrams.☆35Updated 8 years ago
- Detection of microblogs novel events using an online variant of topic model☆72Updated 11 years ago
- Semantic Entity Retrieval Toolkit☆110Updated 7 years ago
- Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.☆37Updated 8 years ago
- Implements supervised topic models with a categorical response.☆64Updated 2 years ago
- ☆141Updated 4 years ago
- Example Recurrent Neural Networks for Sentiment Analysis (Aspect-Based) on SemEval 2014☆76Updated 6 years ago
- items browsed in a session as a context are modeled to vec with bidirectional lstm☆18Updated 7 years ago
- Topic models for review mining☆18Updated 7 years ago
- A simple version of DeepRank & MatchPyramid implemented in PyTorch.☆35Updated 4 years ago
- This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…☆89Updated last year
- Repository for experiments with MetaProd2Vec and related algorithms.☆58Updated 5 years ago
- A repository for Neural Document Ranking Models.☆85Updated 6 years ago
- Python implemetation for Dirichlet Multinomial Mixture (DMM) model☆48Updated 3 years ago
- A Latent Dirichlet Allocation implementation in Python.☆50Updated 5 years ago
- Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"☆142Updated last year
- Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)☆178Updated 7 years ago
- Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…☆147Updated 9 years ago
- Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python☆121Updated 2 years ago
- Scikit-learn like Labeled-LDA☆38Updated 8 years ago
- Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf☆58Updated 6 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
- WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…☆81Updated 5 years ago
- Neural Topic Models☆69Updated 8 years ago
- Hierarchical, multi-label topic modelling with LDA☆53Updated last year