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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
London, United Kingdom :
IntechOpen
2020
[2020] |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654344106719 |
| Summary: | 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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| Physical Description: | 1 online resource (96 pages) : illustrations |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781838806163 9781789840285 |
