Social media opinion summarization using emotion cognition and convolutional neural networks

作者：

Highlights：

• Propose an effective opinion summarization method for microblog texts based on emotion modeling and deep learning.

• Design a blog users’ sentiment classification rule library based on the OCC model.

• Analyze three real-world microblog datasets to demonstrate the efficacy of our proposed method.

摘要

•Propose an effective opinion summarization method for microblog texts based on emotion modeling and deep learning.•Design a blog users’ sentiment classification rule library based on the OCC model.•Analyze three real-world microblog datasets to demonstrate the efficacy of our proposed method.

论文关键词：Convolutional neural network,Deep learning,Sentiment analysis,Social media,Text mining

论文评审过程：Received 28 December 2018, Revised 8 July 2019, Accepted 9 July 2019, Available online 26 July 2019, Version of Record 24 February 2020.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.07.004