Detecting variation of emotions in online activities

作者：

Highlights：

• Detect wide spectrum of emotions from online text sources.

• Reveal social emotions and affective states from online social networks content.

• A case study where explicit and implicit emotion experiences are monitored.

• Online text sources features for emotion detection.

摘要

•Detect wide spectrum of emotions from online text sources.•Reveal social emotions and affective states from online social networks content.•A case study where explicit and implicit emotion experiences are monitored.•Online text sources features for emotion detection.

论文关键词：Emotion detection,Machine learning,Lexicon-based approach,Hybrid process

论文评审过程：Received 27 December 2016, Revised 25 July 2017, Accepted 26 July 2017, Available online 27 July 2017, Version of Record 24 August 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.044