A CBR for integrating sentiment and stress analysis for guiding users on social network sites

作者：

Highlights：

• A Case-Based Reasoning engine predicts outcomes using affective states and context.

• The proposed hypothesis is that the CBR will outperform state detection methods.

• The engine outperformed affective state detection methods in predicting outcomes.

• This proposal aims to prevent risks of users navigating on-line social environments.

摘要

•A Case-Based Reasoning engine predicts outcomes using affective states and context.•The proposed hypothesis is that the CBR will outperform state detection methods.•The engine outperformed affective state detection methods in predicting outcomes.•This proposal aims to prevent risks of users navigating on-line social environments.

论文关键词：Multi-agent system,Social networks,Sentiment analysis,Stress analysis,Case-based reasoning

论文评审过程：Received 28 June 2021, Revised 1 July 2022, Accepted 5 July 2022, Available online 9 July 2022, Version of Record 18 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118103