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'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.
TV-content Recommendation System using Topic Model for content-based filtering and AI-powered search along with custom algorithms. Additionally, simulation of user behavior.
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
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
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