Social web mining and sentiment analysis for mental illness detection

用于精神疾病检测的社交网络挖掘和情感分析

• 批准号: 478857-2015
• 负责人: Inkpen, Diana
• 金额: $ 14.12万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=599845
• 关键词: Social; web; mining; sentiment; analysis

Social media are increasingly popular. Nowadays, Internet users are posting, blogging, tweeting and so on about almost everything, including health topics. Such communities support active discussions on a plethora of topics and have flourished on the Web over the past decade. In particular, Internet users report their mood, their activities, their social interactions and all the events around them. This information could be used as a vast organic sensor network composed of individuals for modelling public health at a population scale.

社交媒体越来越受欢迎。如今，互联网用户发布、写博客、发推特等等，内容几乎无所不包，包括健康话题。这样的社区支持对大量主题的积极讨论，并且在过去十年中在Web上蓬勃发展。特别是，互联网用户报告他们的情绪，他们的活动，他们的社会互动和他们周围的所有事件。这些信息可以作为一个由个人组成的庞大的有机传感器网络，用于在人口规模上模拟公共卫生。