Mining User-Aware Rare Sequential Topic Patterns in Document Streams
Mining User-Aware Rare Sequential Topic Patterns in Document Streams
Abstract:
Textual documents created and distributed on the Internet are ever changing in various forms. Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. In this paper, in order to…
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