Content-based location detection in social media messages

社交媒体消息中基于内容的位置检测

• 批准号: 451927-2013
• 负责人: Inkpen, Diana
• 金额: $ 1.82万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=540546
• 关键词: Content; based; location; detection; social

Semantic analysis in social media is important for applications such as understanding and enabling social networks, natural language interfaces and human behaviour on the web, e-learning environments, cyber communities and educational or online shared workspaces. These aspects are also important in security, privacy & identity, opinion mining, sentiment analysis, and in the larger area of affective computing.

社交媒体中的语义分析对于理解和启用社交网络、自然语言界面和网络上的人类行为、电子学习环境、网络社区以及教育或在线共享工作空间等应用非常重要。这些方面在安全、隐私和身份、意见挖掘、情感分析以及更大的情感计算领域也很重要。