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Deconstructing Persuasive Strategies in Mental Health Apps Based on User Reviews using Natural Language Processing.
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Deconstructing Persuasive Strategies in Mental Health Apps Based on User Reviews using Natural Language Processing. (2020)Deconstructing Persuasive Strategies in M…Voice of airline passenger: A text mining approach to understand customer satisfaction (2019)Voice of airline passenger: A…Text Mining for Big Data Analysis in Financial Sector: A Literature Review (2019)Text Mining for Big Data Anal…Factors Influencing Customers' Satisfaction and Dissatisfaction with Hotels: A Text-Mining Approach (2019)Factors Influencing Customers…Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development (2019)Apps for Mental Health: An Ev…Youth Codesign of a Mobile Phone App to Facilitate Self-Monitoring and Management of Mood Symptoms in Young People With Major Depression, Suicidal Ideation, and Self-Harm (2018)Youth Codesign of a Mobile Ph…Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study (2018)Identifying Objective Physiol…Improving the Efficacy of Games for Change Using Personalization Models (2017)Improving the Efficacy of Gam…Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism (2017)Engagement in mobile phone ap…Mobile technology for mental health assessment (2016)Mobile technology for mental …Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial (2012)Self-monitoring Using Mobile …Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness (2010)Mobile Therapy: Case Study Ev…User requirements of mobile technology: results from a content analysis of user reviews (2007)User requirements of mobile t…A circumplex model of affect. 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References

  • 2012Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial404 cited
  • 2010Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness384 cited
  • 2018Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study333 cited
  • 2017Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism231 cited
  • 2019Text Mining for Big Data Analysis in Financial Sector: A Literature Review224 cited
  • 2019Voice of airline passenger: A text mining approach to understand customer satisfaction196 cited
  • 2017Improving the Efficacy of Games for Change Using Personalization Models158 cited
  • 2018Youth Codesign of a Mobile Phone App to Facilitate Self-Monitoring and Management of Mood Symptoms in Young People With Major Depression, Suicidal Ideation, and Self-Harm151 cited
  • 2016Mobile technology for mental health assessment108 cited
  • 2019Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development82 cited
  • 2007User requirements of mobile technology: results from a content analysis of user reviews70 cited
  • 2019Factors Influencing Customers' Satisfaction and Dissatisfaction with Hotels: A Text-Mining Approach42 cited

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