A review of topic modeling methods
作者：
Highlights：
• Reviewed different topic modeling approaches dealing with correlation between topics.
• This review will encourage more diversity when performing topic modeling.
• The classification of methods in our review is flexible.
• Discussed the techniques of optimizing the topic modeling algorithms.
• Created and presented a decision tree to select a topic modeling method
摘要
•Reviewed different topic modeling approaches dealing with correlation between topics.•This review will encourage more diversity when performing topic modeling.•The classification of methods in our review is flexible.•Discussed the techniques of optimizing the topic modeling algorithms.•Created and presented a decision tree to select a topic modeling method
论文关键词：Topic modeling,Probabilistic Bayesian networks,Text analysis,Topic correlation,Temporal analysis,Social Media analysis,Inference algorithms
论文评审过程：Received 17 March 2020, Revised 13 June 2020, Accepted 15 June 2020, Available online 18 June 2020, Version of Record 3 July 2020.
论文官网地址：https://doi.org/10.1016/j.is.2020.101582
