Advanced Applications of NLP and Deep Learning in Social Media Data (Paperback)

Social media platforms are one of the main generators of textual data where people around the world share their daily life experiences and information with online society. The social, personal, and professional lives of people on these social networking sites generate not only a huge amount of data but also open doors for researchers and academicians with numerous research opportunities. This ample amount of data needs advanced machine learning, deep learning, and intelligent tools and techniques to receive, process, and interpret the information to resolve real-life challenges and improve the online social lives of people. Advanced Applications of NLP and Deep Learning in Social Media Data bridges the gap between natural language processing (NLP), advanced machine learning, deep learning, and online social media. It hopes 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. Covering topics such as machine learning-based prediction, emotion recognition, and high-dimensional text clustering, this premier reference source is an essential resource for OSN service providers, psychiatrists, psychologists, clinicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.

General

Imprint:	IGI Global
Country of origin:	United States
Release date:	December 2022
Editors:	Ahmed A. Abd El-Latif • Mudasir Ahmad Wani • Mohammed A. El-Affendi
Dimensions:	279 x 216mm (L x W)
Format:	Paperback
Pages:	305
ISBN-13:	978-1-66846-910-1
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Internet > General Books > Computing & IT > Social & legal aspects of computing > General Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation Promotions
LSN:	1-66846-910-3
Barcode:	9781668469101

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