An efficient CNN-LSTM model for sentiment detection in #BlackLivesMatter

作者：

Highlights：

• CNN-LSTM is applied for the sentiment analysis for #BlackLivesMatter.

• The results of two provinces of USA: Minnesota and Washington D.C are displayed.

• Comparison with existing deep learning classifiers validated the proposed model.

摘要

•CNN-LSTM is applied for the sentiment analysis for #BlackLivesMatter.•The results of two provinces of USA: Minnesota and Washington D.C are displayed.•Comparison with existing deep learning classifiers validated the proposed model.

论文关键词：Social media,Deep learning,Sentiment analysis,Convolution neural network,Long Short Term Memory

论文评审过程：Received 14 August 2021, Revised 12 October 2021, Accepted 17 November 2021, Available online 1 January 2022, Version of Record 7 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116256