Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data

作者：

Highlights：

• Co-LSTM is a classifier for sentiment analysis of social media reviews.

• Co-LSTM leverages the best features of both convolutional neural network and Long short-term memory in order to model the classifier.

• Word embedding model has been applied in constructing vocabulary dictionary.

• Co-LSTM is compared with other machine learning and deep learning models.

摘要

•Co-LSTM is a classifier for sentiment analysis of social media reviews.•Co-LSTM leverages the best features of both convolutional neural network and Long short-term memory in order to model the classifier.•Word embedding model has been applied in constructing vocabulary dictionary.•Co-LSTM is compared with other machine learning and deep learning models.

论文关键词：Deep learning,Big data,Sentiment analysis,Word embedding,RNN,CNN,LSTM

论文评审过程：Received 16 March 2020, Revised 3 October 2020, Accepted 3 November 2020, Available online 24 November 2020, Version of Record 24 November 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2020.102435