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Analysing Activities, Contextualized for General Health, Depression and Demographics

机译:分析与环境相关的活动,以实现一般健康,抑郁和人口统计学

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摘要

The contextualizing of large and complex data sources is crucial. Associated with analytical focus can be the addressing of bias in social media and other data sources, and associated with contextualization is Big Data calibration. European Social Survey data is used here, and the main objective is the evaluation of mental health survey data. While specific findings and outcomes are the major objectives here, relating to definition and properties of mental capital, future objectives will be as follows: to plan with metadata and ontology for further, future and rewarding integration with other data sources, both nationally and globally.
机译:大型复杂数据源的上下文环境至关重要。与分析重点相关联可以解决社交媒体和其他数据源中的偏见,与上下文相关联的是大数据校准。这里使用欧洲社会调查数据,主要目的是评估精神健康调查数据。尽管此处的主要发现和结果是主要的目标,与精神资本的定义和性质有关,但未来的目标如下:利用元数据和本体进行计划,以进一步,未来并以有益的方式与国家和全球范围内的其他数据源集成。

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