TensiStrength: Stress and relaxation magnitude detection for social media texts

作者：

Highlights：

• An algorithm, TensiStrength, is introduced to detect stress and relaxation strength in social web texts.

• TensiStrength detects stress and relaxation strength in tweets with a significant agreement rate with human judgements.

• Human annotated corpora and associated resources are introduced for the stress and relaxation strength detection task.

摘要

•An algorithm, TensiStrength, is introduced to detect stress and relaxation strength in social web texts.•TensiStrength detects stress and relaxation strength in tweets with a significant agreement rate with human judgements.•Human annotated corpora and associated resources are introduced for the stress and relaxation strength detection task.

论文关键词：Stress,Relaxation,Sentiment analysis,Opinion mining,Affective computing

论文评审过程：Received 18 November 2015, Revised 26 June 2016, Accepted 30 June 2016, Available online 12 July 2016, Version of Record 23 November 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2016.06.009