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Deep Learning for Social Media Data Analytics - 2022 ed.

By: (Edited by) Akrati Saxena , (Edited by) Anupam Biswas , (Edited by) Leticia Serrano-Estrada , (Edited by) Tzung-Pei Hong

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Ksh 23,400.00

Format: Paperback / Softback

ISBN-10: 303110871X

ISBN-13: 9783031108716

Edition: 2022 ed.

Series: Studies in Big Data

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 20th, 2023

Print length: 299 Pages

Product Classification: Media studies
Electrical engineering
Databases
Artificial intelligence

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This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis.

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