Enhancing deep learning sentiment analysis with ensemble techniques in social applications

作者：

Highlights：

• A taxonomy that classifies ensemble models in the literature is presented.

• Surface and deep features integration is explored to improve classification.

• Several ensembles of classifiers and features are proposed and evaluated.

• Performance of the proposed models is evaluated on several sentiment datasets.

摘要

•A taxonomy that classifies ensemble models in the literature is presented.•Surface and deep features integration is explored to improve classification.•Several ensembles of classifiers and features are proposed and evaluated.•Performance of the proposed models is evaluated on several sentiment datasets.

论文关键词：Ensemble,Deep learning,Sentiment analysis,Machine learning,Natural language processing

论文评审过程：Received 30 June 2016, Revised 31 January 2017, Accepted 1 February 2017, Available online 3 February 2017, Version of Record 13 February 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.02.002