Empirical evaluation of feature projection algorithms for multi-view text classification

作者：

Highlights：

• A multi-view text classification may be better than a simple text classification.

• Feature projection methods may outperform a multi-view text classification approach.

• The proposed ranking method allows for selecting the best classification model.

摘要

•A multi-view text classification may be better than a simple text classification.•Feature projection methods may outperform a multi-view text classification approach.•The proposed ranking method allows for selecting the best classification model.

论文关键词：Multi-view text classification,Multi-view document classification,Information fusion,Information fusion in text classification,Evaluation method,Ranking method

论文评审过程：Received 18 May 2018, Revised 9 April 2019, Accepted 9 April 2019, Available online 12 April 2019, Version of Record 17 April 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.04.020