Advanced Applications of NLP and Deep Learning in Social Media Data

Ahmed A. Abd El-Latif

ISBN 10: 1668469103 / ISBN 13: 9781668469101

Published by IGI Global, 2023

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781668469101

Bibliographic Details

• Title: Advanced Applications of NLP and Deep Learning in Social Media Data
• Publisher: IGI Global
• Publication Date: 2023
• Language: English
• ISBN 10: 1668469103
• ISBN 13: 9781668469101
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 18D millimeters 254 millimeters width by 178 millimeters height by 18 millimeters depth
• Weight: 626 grams

About this title

Synopsis

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.