Analyzing depression tendency of web posts using an event-driven depression tendency warning model

作者：

Highlights：

• We define four depression tendency factors and collected seed lexicons for them.

• We proposed three automatic negative event extraction methods.

• Predict depression tendency via proposed event-driven depression tendency warning model.

• Drawing trend char to track the depression tendency score.

摘要

•We define four depression tendency factors and collected seed lexicons for them.•We proposed three automatic negative event extraction methods.•Predict depression tendency via proposed event-driven depression tendency warning model.•Drawing trend char to track the depression tendency score.

论文关键词：Part of speech pattern,Negative event,Negative emotion,Depression tendency

论文评审过程：Received 6 October 2014, Revised 18 October 2015, Accepted 23 October 2015, Available online 2 November 2015, Version of Record 26 February 2016.

论文官网地址：https://doi.org/10.1016/j.artmed.2015.10.003