Identifying depressive users in Twitter using multimodal analysis

@article{Kang2016IdentifyingDU,
  title={Identifying depressive users in Twitter using multimodal analysis},
  author={KeumHee Kang and Chanhee Yoon and Eun Yi Kim},
  journal={2016 International Conference on Big Data and Smart Computing (BigComp)},
  year={2016},
  pages={231-238}
}
Recently, many efforts have been spent on observing individual's psychological states through analyzing users' social activities on SNS. In this paper, we propose a novel method for identifying the users with depressive moods by analyzing their daily tweets for a long period of time. Then, for more accurately understand their tweets, we exploit all media types of tweets, i.e., images and emoticons as well as texts, thus develop a multimodal method for analyzing them. In the proposed method… CONTINUE READING

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