RankTopic: Ranking Based Topic Modeling

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Provided by: University of Medicine and Pharmacy
Topic: Big Data
Format: PDF
Topic modeling has become a widely used tool for document management due to its superior performance. However, there are few topic models distinguishing the importance of documents on different topics. In this paper, the authors investigate how to utilize the importance of documents to improve topic modeling and propose to incorporate link based ranking into topic modeling. Specifically, topical pagerank is used to compute the topic level ranking of documents, which indicates the importance of documents on different topics.
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