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According to a report online [34], more than 200 million unique users search for jobs online every month. This incredibly large and fast growing demand has enticed software giants such as Google and Facebook to enter this space, which was previously dominated by companies such as LinkedIn, Indeed, Dice and CareerBuilder. Recently, Google released their “AIpowered Jobs Search Engine”, “Google For Jobs”...
Text Big Data Analytics Study «Third Wave» is described. Morphological matrix of several Keywords Phrases was collected from Internet's open textual resources using API. The results are analyzed from the point of view that global Internet's audience forms «people-to-IT» system
becomes really difficult because name abbreviation, interdisciplinary, especially tautonym for Chinese scholars. The scholar classification can be achieved by the publications, journals that they published with, keywords in their publications using big-data techniques.
The results of Text Big Data Analytics Study «Third Wave» is presented. The Study is provided by Dell EMC External Research and Academic Alliances in Russia. Counted keywords are investigated in terms of Glocalization (Globalization plus Localization) issues. The findings include: Glocalization picture
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