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Smartphone photography is gaining popularity among young adults and can be used for expressing mood. However, how photos are used for expressing happiness is understudied. This paper presents the findings of a study involving 27 college students who were instructed to take one photo daily representing a happy moment for three weeks. The participants also viewed their daily photos three times a day...
Understanding changes in the mood and mentalhealth of large populations is a challenge, with the need for largenumbers of samples to uncover any regular patterns within thedata. The use of data generated by online activities of healthyindividuals offers the opportunity to perform such observationson the large scales and for the long periods that are required. Various studies have previously examined...
Discovering dynamics of emotion and mood changes for individuals has the potential to enhance the diagnosis and treatment of mental disorders. In this paper we study affective transitions and dynamics among individuals in online mental health communities. Using social media as form of ‘sensor’, we crawl a large dataset of blogs posted by online communities whose descriptions declared to be associated...
In recent years, due to huge growth in mental disorder and its serious impact throughout the world it has becoming a necessity to better understand the dissatisfactory outcomes from metal health problem. Since there is an extreme large dataset which was becoming difficult to process with database management tools, there was a need to accumulate the mental health data using big data analytics tools...
People are increasingly using social media, especially online communities, to discuss mental health issues and seek supports. Understanding topics, interaction, sentiment and clustering structures of these communities informs important aspects of mental health. It can potentially add knowledge to the underlying cognitive dynamics, mood swings patterns, shared interests, and interaction. There has...
We have seen an explosion of communication on social media in the past few years. In particular, people use Twitter to share information and experiences, express their opinions, and say how they feel. This wealth of data of how people feel and experience various events can provide valuable information to support mental health research. In this paper, we show how we can explore the emotional state...
One of the areas of great demand for the need of continuous monitoring, patient participation and medical prediction is that of mood disorders, more specifically bipolar disorders. Due to the unpredictable and episodic nature of bipolar disorder, it is necessary to take the traditional standard procedures of mood assessment through the administration of rating scales and questionnaires and integrate...
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