Moodee: An Intelligent Mobile Companion for Sensing Your Stress from Your Social Media Postings

Authors

  • Huijie Lin Tsinghua University
  • Jia Jia Tsinghua University
  • Jie Huang Tsinghua University
  • Enze Zhou Tsinghua University
  • Jingtian Fu Tsinghua University
  • Yejun Liu Tsinghua University
  • Huanbo Luan Tsinghua University

DOI:

https://doi.org/10.1609/aaai.v30i1.9837

Keywords:

Social Media, Wellbeing, Mental Health

Abstract

In this demo, we build a practical mobile application, Moodee,to help detect and release users’ psychological stress byleveraging users’ social media data in online social networks,and provide an interactive user interface to present users’and friends’ psychological stress states in an visualized andintuitional way.Given users’ online social media data as input, Moodee intelligentlyand automatically detects users’ stress states. Moreover,Moodee would recommend users with different linksto help release their stress. The main technology of this demois a novel hybrid model - a factor graph model combinedwith Deep Neural Network, which can leverage social mediacontent and social interaction information for stress detection.We think that Moodee can be helpful to people’s mentalhealth, which is a vital problem in modern world.

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Published

2016-03-05

How to Cite

Lin, H., Jia, J., Huang, J., Zhou, E., Fu, J., Liu, Y., & Luan, H. (2016). Moodee: An Intelligent Mobile Companion for Sensing Your Stress from Your Social Media Postings. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9837