Alberto Cano

Virginia Commonwealth University

Alberto Cano is an assistant professor in the Department of Computer Science at the Virginia Commonwealth University, USA, where he heads the High-Performance Data Mining Lab. He received his PhD degree in Computer Science from the University of Granada (Spain) in 2014 and MSc degree from the University of Cordoba (Spain) in 2010. His research is focused on machine learning, data mining, soft computing, parallel computing, and general purpose GPU systems. He has authored 28 articles in international journals, 27 conference papers, 2 book chapters, and one book and he has served as a member of the technical program committee in more than 60 international conferences.

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Latest work with IntechOpen by Alberto Cano

Social media has transformed society and the way people interact with each other. The volume and speed in which new content is being generated surpasses the processing capacity of machine learning systems. Analyzing such data demands new approaches coming from natural language processing, text mining, sentiment analysis, etc to understand and resolve the arising challenges. There is a need to develop robust and adaptable systems to tackle these open issues in real time, as well as to provide a meaningful summarization and visualization to the end users. This book provides the reader with a comprehensive overview of the latest developments in social media and machine learning, addressing research innovations, applications, trends, and open challenges in this crucial area.

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