A sampling based sentiment mining approach for e-commerce applications

作者：

Highlights：

• We propose 3 vector models by varying the feature size.

• We propose an integrative approach for imbalanced datasets.

• We analyze the effect of imbalance ratio in sentiment learning.

• Proposed method performs more accurately than baseline models.

摘要

•We propose 3 vector models by varying the feature size.•We propose an integrative approach for imbalanced datasets.•We analyze the effect of imbalance ratio in sentiment learning.•Proposed method performs more accurately than baseline models.

论文关键词：Sentiment,Opinion,Imbalance,Sampling,Ensemble

论文评审过程：Received 20 February 2015, Revised 24 August 2016, Accepted 25 August 2016, Available online 31 August 2016, Version of Record 23 November 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2016.08.003