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SYSTEM AND METHOD FOR AUTOMATICALLY DETECTING DEPRESSION SYMPTOMS OF A SOCIAL MEDIA USER

机译:自动检测社交媒体用户的抑郁症状的系统和方法

摘要

The present invention is a system and method for automatically detecting one or more depression symptoms of a social media user. The method comprises collecting (402) social media content from one or more social media platforms associated with social media users through a data collection module (202); categorizing (404) the collected social media content to build a profile of the social media user, calculating a psychological intensity value after evaluating one or more sentences of the social media content through a user depression detection module (204); quantifying (406) a depression level of the social media user and identify if the social media user requires at least one of immediate medical attention and monitoring based on the quantified depression level through a depression monitor and alert module (206). A system therefore is also provided.
机译:本发明是一种用于自动检测社交媒体用户的一个或多个抑郁症状的系统和方法。该方法包括通过数据收集模块(202)从与社交媒体用户相关联的一个或多个社交媒体平台收集(402)社交媒体内容;分类(404)所收集的社交媒体内容,建立社交媒体用户的简档,在通过用户凹陷检测模块(204)评估社交媒体内容的一个或多个句子之后计算心理强度值;量化(406)社交媒体用户的抑郁级别,并确定社交媒体用户是否需要基于通过凹陷监视器和警报模块(206)基于量化的抑郁级别的直接医疗注意力和监视中的至少一个。因此也提供了一种系统。

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