topic-model

Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python

Expose a Top2Vec model with a REST API.

Code for the paper "Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning"

Latent Dirichlet Allocation

Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder.

💒 Reproducible Extraction of Cross-lingual Topics using R

The implementation of 'Effective Document Labeling with Very Few Seed Words: A Topic Modeling Approach', Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma, https://doi.org/10.1145/2983323.2983721

Code for Short Text Topic Modeling with Flexible Word Patterns

A collection of topic diversity measures for topic modeling

[AAAI2019] AutoSense Model for Word Sense Induction

a cpp implementation of sparse biterm topic model, 10x faster than origin implementation because using sparse-sampler.

Our implementation of collapsed Gibbs Sampling algorithm for Dirichlet Multinomial Mixture model(GSDMM) (published in KDD 2014)

The java implementation of "Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings" TOIS 2017, Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma, https://dl.acm.org/citation.cfm?doid=3133943.3091108

Epinions Annotated Reviews Dataset

The java implementation of "Seed-Guided Topic Model for Document Filtering and Classification ", TOIS 2018.

Determine a Prototype from a number of runs of Latent Dirichlet Allocation (LDA) measuring its similarities with S-CLOP: A procedure to select the LDA run with highest mean pairwise similarity, which is measured by S-CLOP (Similarity of multiple sets by Clustering with Local Pruning), to all other runs.

Code for Learning Multilingual Topics with Neural Variational Inference

The implementation of GPU-based Dirichlet Multinomial Mixture model (GPU-DMM) (published in SIGIR 2016)

a fast Cpp-implementation Hierarchy Latent Dirichlet Allocation algorithm, can aggregate stop-words/meaningless-high-frequency-words into "common-topic"(a rubbish words bucket) and generate K(number of topics you set) more pure "special-topics".

Quality Metrics for Topic Modeling

implementation of continuous space topic model for modeling text through gaussian processes

This is the java implementation of paper "Multi-label Dataless Text Classification with Topic Modeling", Daochen Zha, Chenliang Li, https://arxiv.org/abs/1711.01563

A Recommendation System for Navigating COVID-19 Research Articles with NLP and Unsupervised ML topic modeling

This is an example of machine-learning for LDA, data is derived from Hilary's mails.

[ICDM2017] Aspect Sentiment Model for Micro Reviews

api of recommendation engine for my blog

A library for topic modeling and browsing

ContentsPlanet is integrative with other systems via the OS standard file system, using outline-based content writing and management based on topic model across directories.

automatic creation of probabilistic topic models as web services with RESTful interface

Content-based recommender system for scientific research articles, with Dash application for browsing 100+ subdomains developed through extensive NMF topic modeling.