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

✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)

Expose a Top2Vec model with a REST API.

A collection of topic diversity measures for topic modeling

Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).

A versatile Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in the social sciences, STREAM simplifies the extraction, interpretation, and visualization of topics from large, complex datasets.

Latent Dirichlet Allocation

Code for Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning (EMNLP2022)

Code for Short Text Topic Modeling with Flexible Word Patterns (IJCNN2019)

💒 Reproducible Extraction of Cross-lingual Topics using R

Code for Discovering Topics in Long-tailed Corpora with Causal Intervention (ACL findings2021)

Code for Learning Multilingual Topics with Neural Variational Inference (NLPCC2020)

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

'alto' is an R package that aligns topics from different LDA models, computes metrics for quantifying the goodness of alignment, and provides visualization functions to explore the alignment and robustness of topics across environments or LDA hyper-parameters.

[AAAI2019] AutoSense Model for Word Sense Induction

A rolling version of the Latent Dirichlet Allocation.

Quality Metrics for Topic Modeling

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

Determine a Prototype from a number of runs of Latent Dirichlet Allocation.

[ICDM2017] Aspect Sentiment Model for Micro Reviews