Deep Learning for Social Media Data Analytics /

This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planni...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Hong, Tzung-Pei (Editor), Serrano-Estrada, Leticia (Editor), Saxena, Akrati (Editor), Biswas, Anupam (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	Studies in Big Data, 113
Subjects:	Engineering-Data processing. Cooperating objects (Computer systems). Computational intelligence. Big data. Social media. Data Engineering. Cyber-Physical Systems. Computational Intelligence. Big Data. Social Media. Electronic books.
Online Access:	Connect to the full text of this electronic book