Social Media and Machine Learning

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 minin...

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Detalles Bibliográficos
Autor principal: Alberto Cano
Formato: Libro
Publicado: IntechOpen 2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: Alberto Cano
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        Big data
        Machine learning
        Social media
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          COMPUTERS / Human-Computer Interaction (HCI)
          Big data
          Machine learning
          Social media
      ab: 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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