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API-Sociology and Google Global society: confluence of factors for political and economic awareness

机译:API-社会学与Google全球社会:政治和经济意识因素的融合

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Text Big Data Analytics Study is presented (frequency-morphological analysis of open texts from Google). Visualization of Morphological Matrix, cluster analysis (hierarchical method of dendrograms creation), and Value Chain Map were implemented as the set of tools for analytics. World Economic Forum’s Global Risks Report was taken as a model in studying global issues. Global Trends Map was created and is presented; it indicates global social persistent inequality. Our results were compared with Global Risks Report and Multiple Futures Project–2030. Value Chain Map, based on Text Big Data Analytics for eight countries, helped to assess economic situation in terms of competitiveness at the global market.
机译:提出了“文本大数据分析研究”(来自Google的开放文本的频率形态分析)。形态矩阵的可视化,聚类分析(树状图创建的分层方法)和价值链图被实现为分析工具集。世界经济论坛的《全球风险报告》被用作研究全球问题的模型。创建并显示了全球趋势图;它表明了全球社会持续存在的不平等。我们的结果与《全球风险报告》和《 2030年多重期货项目》进行了比较。价值链地图基于八个国家的文本大数据分析,有助于评估全球市场竞争力方面的经济状况。

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