Topic Modeling with Document Relative Similarities

@inproceedings{Du2015TopicMW,
  title={Topic Modeling with Document Relative Similarities},
  author={Jianguang Du and Jing Jiang and Dandan Song and Lejian Liao},
  booktitle={IJCAI},
  year={2015}
}
Topic modeling has been widely used in text mining. Previous topic models such as Latent Dirichlet Allocation (LDA) are successful in learning hidden topics but they do not take into account metadata of documents. To tackle this problem, many augmented topic models have been proposed to jointly model text and metadata. But most existing models handle only… CONTINUE READING