A text classification framework for simple and effective early depression detection over social media streams
作者：
Highlights：
• A novel text classifier having the ability to visually explain its rationale.
• Domain-independent classification that does not require feature engineering.
• Support for incremental learning and text classification over streams.
• Efficient framework for addressing early risk detection problems.
• State-of-the-art performance on early depression detection task.
摘要
•A novel text classifier having the ability to visually explain its rationale.•Domain-independent classification that does not require feature engineering.•Support for incremental learning and text classification over streams.•Efficient framework for addressing early risk detection problems.•State-of-the-art performance on early depression detection task.
论文关键词：Early text classification,Early depression detection,Incremental classification,SS3,Interpretability,Explainability
论文评审过程：Received 22 June 2018, Revised 17 May 2019, Accepted 18 May 2019, Available online 18 May 2019, Version of Record 23 May 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.05.023
