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Deep Learning for Social Media Data Analytics - Studies in Big Data 2022 edition
Deep Learning for Social Media Data Analytics - Studies in Big Data
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.
299 pages, 100 Tables, color; 65 Illustrations, color; 21 Illustrations, black and white; X, 299 p.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | September 19, 2022 |
| ISBN13 | 9783031108686 |
| Publishers | Springer International Publishing AG |
| Pages | 299 |
| Dimensions | 150 × 220 × 20 mm · 635 g |
| Language | German |
| Editor | Biswas, Anupam |
| Editor | Hong, Tzung-Pei |
| Editor | Saxena, Akrati |
| Editor | Serrano-Estrada, Leticia |