Sentiment analysis and affective computing for depression monitoring

@article{Zucco2017SentimentAA,
  title={Sentiment analysis and affective computing for depression monitoring},
  author={Chiara Zucco and Barbara Calabrese and Mario Cannataro},
  journal={2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  year={2017},
  pages={1988-1995}
}
Depression is one of the most common and disabling mental disorders that has a relevant impact on society. Semiautomatic and/or automatic health monitoring systems could be crucial and important to improve depression detection and follow-up. Sentiment Analysis refers to the use of natural language processing and text mining methodologies aiming to identify opinion or sentiment. Affective Computing is the study and development of systems and devices that can recognize, interpret, process, and… 

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