4.7 Editorial Material

New trends and applications in social media analytics

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ELSEVIER
DOI: 10.1016/j.future.2020.08.007

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Social media analytics; Online social networks; Social network analysis; Sentiment analysis

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The rapid growth of social media platforms and their associated applications has revolutionized the way billions of people interact on the Web, driving innovations in user-centered applications and efficient data processing techniques. Recent advances in data science and artificial intelligence have made these developments possible, as evidenced by the 12 selected papers in this special issue representing the latest advances in fields like pattern recognition, information fusion, knowledge discovery, and data visualization.
The fast growth of social media platforms and their related applications have dramatically changed the way billions of people relate to each other on the Web. This evolution of social media has blossomed in a plethora of end-user, or user-centered, applications that required innovative and efficient techniques for data processing. This was made possible recently thanks to advances in data science and artificial intelligence in fields like pattern recognition, information fusion, knowledge discovery and data visualization. This special issue provides a set of 12 selected papers (out of 65 submissions) that represent latest advances and developments in these areas. (C) 2020 Published by Elsevier B.V.

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