Tracking and recognizing emotions in short text messages from online chatting services
作者：
Highlights：
• A computational method is developed to track users’ emotions in online chatting.
• Contextual information is used to organize a user's continuous emotional states.
• Emotions are differentiated using continuous numerical levels.
• The Valence-Arousal emotion space is adopted to quantify and measure different emotions.
• Emoticons are regarded as the implicit expressions of user emotions.
摘要
•A computational method is developed to track users’ emotions in online chatting.•Contextual information is used to organize a user's continuous emotional states.•Emotions are differentiated using continuous numerical levels.•The Valence-Arousal emotion space is adopted to quantify and measure different emotions.•Emoticons are regarded as the implicit expressions of user emotions.
论文关键词：Online chatting,Plurk,Emotion analysis,Text context,Valence-arousal space
论文评审过程：Received 18 November 2017, Revised 18 May 2018, Accepted 20 May 2018, Available online 7 June 2018, Version of Record 3 September 2018.
论文官网地址：https://doi.org/10.1016/j.ipm.2018.05.008
