Opinion mining and emotion recognition applied to learning environments

作者：

Highlights：

• Creation of two dataset for emotions and sentiments in text.

• Recognitions of learning-centered emotions in text.

• Comparison among machine & deep learning methods against an evolutionary approach.

• Integration of best classification model to an intelligent learning environment.

摘要

•Creation of two dataset for emotions and sentiments in text.•Recognitions of learning-centered emotions in text.•Comparison among machine & deep learning methods against an evolutionary approach.•Integration of best classification model to an intelligent learning environment.

论文关键词：Opinion mining,Sentiment analysis,Deep learning,Evolutionary algorithms,Machine learning,Intelligent learning environments

论文评审过程：Received 2 September 2019, Revised 17 January 2020, Accepted 30 January 2020, Available online 1 February 2020, Version of Record 10 February 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113265