Social media text mining for detecting behavioral and psychological conditions in children

儿童对社交媒体的广泛使用最近引发了与网络欺凌和其他威胁他们健康的问题。VISR。CO有一个应用程序，可以提醒父母他们的孩子在网上面临的问题。他们分析了孩子们在社交网络上的社交互动，并搜索了超过25个警报类别，从欺凌到心理健康。高度准确地检测父母关心的这些问题是一项困难的机器学习（ML）和自然语言处理（NLP）挑战，需要计算机科学的最新进展。此外，当发现心理健康问题，如焦虑、抑郁和自残时，需要临床专业知识来了解潜在的条件和原因。他们目前能够提供非常基本的心理健康警报，但需要NLP专业知识和临床洞察力。截至2016年2月12日，VISR。该组织代表8,645名家长对9,985名儿童进行了积极监测。visr .CO发现了850例确认的欺凌案件（24%的成功率），452例确认的心理健康问题（21%的成功率），1018例确认的药物使用问题（16%的成功率）。我们建议通过使用更先进的数据挖掘技术来研究提高成功率的方法。他们需要解决的另一个挑战是找到更好的方法来处理社交媒体文本（如频繁的拼写错误，短寿命成语表达和缩写），并解释跨社交媒体平台的语言表达的动态性。如果这些挑战得到解决，该产品将具有竞争优势，因为它可以保持更新，向父母发送有用的警报，并智能地构建每个孩子在线活动中发现的独特问题。

The widespread usage of social media by children has recently raised problems related to cyberbullying andother threats to their well-being. VISR.CO has an app that alerts parents to issues their kids are facing online.They analyze the social interactions kids are experiencing on social networks, and search for over 25 alertcategories, from bullying to mental health. Highly accurately detecting these issues that parents care about is adifficult Machine Learning (ML) and Natural Language Processing (NLP) challenge, requiring the latestadvancements in computer science. Additionally, when detecting mental health issues, such as anxiety,depression and self-harm, a clinical expertise is required to understand the underlying conditions and causes.They are currently able to deliver very rudimentary mental health alerts but require both NLP expertise andclinical insight.As of February 12, 2016, VISR.CO has been actively monitoring 9,985 children on behalf of 8,645 parents.VISR.CO has uncovered 850 confirmed cases of bullying (24% success rate), 452 confirmed mental healthconcerns (21% success rate), and 1,018 confirmed substance use concerns (16% success rate). We propose toresearch ways to increase our success rates by using more advanced data-mining techniques. Another challengethat they need to address is to find better ways to deal with the social media texts (such as frequentmisspellings, short-lived idiomatic expressions, and abbreviations) and to account for the dynamic nature oflinguistic expression across social media platforms.If these challenges are addressed, the product will have a competitive advantage by staying up to date,delivering useful alerts to parents, and intelligently framing the unique issues found the online activity of everychild.