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dc.contributor.editorCano, Alberto
dc.date.accessioned2021-04-20T16:08:51Z
dc.date.available2021-04-20T16:08:51Z
dc.date.issued2020
dc.identifierONIX_20210420_9781789840285_2636
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/67277
dc.description.abstractSocial 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherMachine learning
dc.titleSocial Media and Machine Learning
dc.typebook
oapen.identifier.doi10.5772/intechopen.78089
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781789840285
oapen.relation.isbn9781789840278
oapen.relation.isbn9781838806163
oapen.imprintIntechOpen
oapen.pages96


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