Emerging topic detection in twitter stream based on high utility pattern mining
作者：
Highlights：
• We propose a topic detection method for Twitter using High Utility Pattern Mining.
• For every chunk of tweets, the minimum utility threshold is determined dynamically.
• A method using a Topic-tree is presented for postprocessing after applying HUPM.
• The proposed method shows superior topic recall performance than other methods.
• The proposed method has short running time suitable for real-time application.
摘要
•We propose a topic detection method for Twitter using High Utility Pattern Mining.•For every chunk of tweets, the minimum utility threshold is determined dynamically.•A method using a Topic-tree is presented for postprocessing after applying HUPM.•The proposed method shows superior topic recall performance than other methods.•The proposed method has short running time suitable for real-time application.
论文关键词：Frequent pattern mining,High utility pattern mining,Topic detection,Twitter stream
论文评审过程：Received 25 January 2018, Revised 24 July 2018, Accepted 25 July 2018, Available online 26 July 2018, Version of Record 10 August 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.051
