Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
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Updated
May 8, 2017 - Java
Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
Short Text Topic Modeling, JAVA
A Java package for the LDA and DMM topic models
Code for Short Text Topic Modeling with Flexible Word Patterns (IJCNN2019)
Our Java implementation of Self-Aggregation-Based Topic Model (SATM)
The implementation of GPU-based Dirichlet Multinomial Mixture model (GPU-DMM) (published in SIGIR 2016)
[ICDM2017] Aspect Sentiment Model for Micro Reviews
Our implementation of Biterm Topic Model (BTM) (published in WWW 2013)
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
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