Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, 15705 Santiago de Compostela, Spain.
Int J Environ Res Public Health. 2020 Jul 1;17(13):4752. doi: 10.3390/ijerph17134752.
In this paper we propose a scalable platform for real-time processing of Social Media data. The platform ingests huge amounts of contents, such as Social Media posts or comments, and can support Public Health surveillance tasks. The processing and analytical needs of multiple screening tasks can easily be handled by incorporating user-defined . The design is modular and supports different processing elements, such as crawlers to extract relevant contents or classifiers to categorise Social Media. We describe here an implementation of a use case built on the platform that monitors Social Media users and detects early signs of depression.
本文提出了一个可扩展的平台，用于实时处理社交媒体数据。该平台可以处理大量的内容，如社交媒体帖子或评论，并支持公共卫生监测任务。通过引入用户定义的扩展，可以轻松处理多个筛选任务的处理和分析需求。该设计是模块化的，并支持不同的处理元素，如用于提取相关内容的爬虫或用于对社交媒体进行分类的分类器。我们在这里描述了一个在该平台上构建的用例实现，该用例用于监测社交媒体用户并发现早期抑郁迹象。
