Sentiment analysis using EEG activities for suicidology

作者：

Highlights：

• EEG signals of readers of potential suicide notes can be used to detect suicide ideation.

• Emotion, attention, and memory assessed in the context of suicide ideation detection.

• Machine learning of EEG signals can help detect suicide ideation in this indirect sensing of sentiments.

• Results indicate that untrained humans may discern suicide notes better than control group.

摘要

•EEG signals of readers of potential suicide notes can be used to detect suicide ideation.•Emotion, attention, and memory assessed in the context of suicide ideation detection.•Machine learning of EEG signals can help detect suicide ideation in this indirect sensing of sentiments.•Results indicate that untrained humans may discern suicide notes better than control group.

论文关键词：EEG,Suicidology,Sentiment

论文评审过程：Received 28 November 2017, Revised 28 February 2018, Accepted 8 March 2018, Available online 11 March 2018, Version of Record 30 March 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.03.011