Deep sentiment analysis: Mining the causality between personality-value-attitude for analyzing business ads in social media

作者：

Highlights：

• We propose a model-based method of public health monitoring for solitary elderly people.

• The method generates secondary situational information from activity data gathered at home.

• An experiment was performed with 1236 actual samples.

• The proposed method contributes to improve the quality of health monitoring in terms of accuracy and finding outliers.

摘要

Highlights•We propose a model-based method of public health monitoring for solitary elderly people.•The method generates secondary situational information from activity data gathered at home.•An experiment was performed with 1236 actual samples.•The proposed method contributes to improve the quality of health monitoring in terms of accuracy and finding outliers.

论文关键词：Sentiment analysis,Data analytics,Value structure,Euler graph,Social media

论文评审过程：Available online 11 July 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.069