@InProceedings{gopalakrishnapillai-thelwall-orasan:2018:WASSA2018,
  author    = {Gopalakrishna Pillai, Reshmi  and  Thelwall, Mike  and  Orasan, Constantin},
  title     = {What Makes You Stressed? Finding Reasons From Tweets},
  booktitle = {Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  month     = {October},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {266--272},
  abstract  = {Detecting stress from social media gives a non-intrusive and inexpensive alternative to traditional tools such as questionnaires or physiological sensors for monitoring mental state of individuals. This paper introduces a novel framework for finding reasons for stress from tweets, analyzing multiple categories for the first time. Three word-vector based methods are evaluated on collections of tweets about politics or airlines and are found to be more accurate than standard machine learning algorithms.},
  url       = {http://aclweb.org/anthology/W18-6239}
}