Advanced applications of NLP and deep learning in social media data

Machine learning based prediction of users' involvement on social media / Vibhor Sharma, Roorkee Institute of Technology, India, Abhay Bhatia, Roorkee Institute of Technology, India, Sachin Singh, Roorkee Institute of Technology, India, Lokesh Kumar, Roorkee Institute of Technology, India.

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Bibliographische Detailangaben
Weitere Verfasser:	Abd El-Latif, Ahmed A. (HerausgeberIn), Wani, Mudasir Ahmad (HerausgeberIn), El-Affendi, Mohammed (HerausgeberIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Hershey, PA IGI Global 2023
Schriftenreihe:	Advances in social networking and online communities (ASNOC) book series Premier reference source
Schlagworte:	Natural language processing (Computer science) > Deep learning (Machine learning) > Semantic computing > Sentiment analysis > Web usage mining > Social media > Deep learning > Automatische Sprachanalyse > Semantic Computing > Social Media
Online Zugang:	Inhaltsverzeichnis
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Zusammenfassung:	Machine learning based prediction of users' involvement on social media / Vibhor Sharma, Roorkee Institute of Technology, India, Abhay Bhatia, Roorkee Institute of Technology, India, Sachin Singh, Roorkee Institute of Technology, India, Lokesh Kumar, Roorkee Institute of Technology, India. "The primary objective of this book is to build a better and safer social media space by making human language available on different social media platforms intelligible for machines with the blessings of AI. This book bridges the gap between Natural Language Processing (NLP), Advanced Machine(AML) and Deep Learning (DL), and Online Social Media. This book connects various interdisciplinary domains related to Natural Language Understanding, Deep machine Leaning Technology and will be highly beneficial for the students, researchers, and academicians working in this area as this book will cover state-of-the-art technologies around NLP and DML techniques and their role in Social Media Data Analysis. Furthermore, the OSN service providers will take the advantage of this book to update, modify and make better social platforms for its users. Psychiatrists and clinicians will also be beneficial as this book's main focus are to analyze the user behavior in Online Social networks which play a key ingredient in several psychological tests"--
Beschreibung:	Literaturverzeichnis: Seite 259-295 Includes bibliographical references and index
Beschreibung:	xxii, 303 Seiten Illustrationen
ISBN:	9781668469095 978-1-6684-6909-5 9781668469101 978-1-6684-6910-1