Leveraging Multi-Domain Prior Knowledge in Topic Models

  title={Leveraging Multi-Domain Prior Knowledge in Topic Models},
  author={Zhiyuan Chen and Arjun Mukherjee and Bing Liu and Meichun Hsu and Mal{\'u} Castellanos and Riddhiman Ghosh},
Topic models have been widely used to identify topics in text corpora. It is also known that purely unsupervised models often result in topics that are not comprehensible in applications. In recent years, a number of knowledge-based models have been proposed, which allow the user to input prior knowledge of the domain to produce more coherent and meaningful topics. In this paper, we go one step further to study how the prior knowledge from other domains can be exploited to help topic modeling… CONTINUE READING
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