Associative topic models with numerical time series

作者：

Highlights：

• Introduce a probabilistic graphical model extracting topics with numerical guidance.

• Enhance the regression performance with unified PGM of text and numbers.

• Tightly links the analysis on numeric and text data over time.

摘要

•Introduce a probabilistic graphical model extracting topics with numerical guidance.•Enhance the regression performance with unified PGM of text and numbers.•Tightly links the analysis on numeric and text data over time.

论文关键词：Time series analysis,Topic models,Text mining

论文评审过程：Received 11 December 2014, Revised 22 May 2015, Accepted 15 June 2015, Available online 5 July 2015, Version of Record 5 July 2015.

论文官网地址：https://doi.org/10.1016/j.ipm.2015.06.007