Stress and sadness are some of the factors that affect the quality of life of people. Inadequate attention to health and safety regulations at work causes about 2 million work-related deaths annually. In this paper, we propose a novel architecture able to monitor the emotional state of the user and allow personalized feedback through a smart music player application. There are research initiatives aiming to predict, detect and intervene when dangerous conditions are found, although there is little research focused on obtaining and processing emotional information obtained from social networks. The architecture proposed can detect and handle the emotional state of the user and offer personalized music therapy to improve their mood. The emotional state is detected analyzing the tweets from the user, and the IBM Tone Analyzer is used as a tool for processing the information. Preliminary experiments were performed with encouraging results.
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