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2017 » Papers » Volume 2 » Social Media and Digital Interactions using Cloud Services for orienting Young People in their Careers 1. SOCIAL MEDIA AND DIGITAL INTERACTIONS USING CLOUD SERVICES FOR ORIENTING YOUNG PEOPLE IN THEIR CAREERS Authors: Suciu George, Conu Radu, Anwar Muneeb Volume 2 | DOI: 10.12753/2066-026X-17-144 | Pages: 419-424 | Download PDF | Abstract
Social media has increasingly gained popularity in the past decade on a global scale, and has attracted a significant part of the online community. Furthermore, social media has made it easy for people to connect and communicate with each other in timely manner, and as a result, it has become one of Big Data's most significant source. Some of the most popular social networks are Facebook, Twitter, LinkedIn and YouTube and the users of these platforms are producing vast amount of unstructured data that companies needs to analyse for a better understanding of their clients and how they are interacting with brand and influencers. This paper presents a review of several current digital interaction solutions that are making use of Big Data from Social Media, analysing what should be the next step in developing a novel method and tools on top of the general machine intelligence toolboxes, frameworks and services to efficiently analyse digital interaction data including Social Media for career counselling. Also, we present in this paper how to deal with Big Data, which presumes the use of a flexible storage environment that can be acquired through the use of Cloud services, provided to a large range of global customers. We demonstrate how to go beyond the main purpose of Cloud, which is to store maximum amount of data and to be accessed easily by the companies, by presenting how Cloud computing emerges as a new computing standard which aims to provide reliable, customized and guaranteed quality social media for end-users. Finally, this paper presents a solution to mine Social Media data, store it in a Cloud environment along with the analysis based on the extracted data. The aim is to discuss how the analysis of Big Data from Social Media can support students and college graduates in their carrier paths from school until their entry into the labour market. | Keywords
Social Media, Digital Interactions, Big Data, Cloud Services, Young People, Careers |
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