Deep Learning for Social Media Data Analytics [E-Book] / edited by Tzung-Pei Hong, Leticia Serrano-Estrada, Akrati Saxena, Anupam Biswas.
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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Personal Name(s): | Biswas, Anupam, editor |
Hong, Tzung-Pei, editor / Saxena, Akrati, editor / Serrano-Estrada, Leticia, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
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Physical Description: |
X, 299 pages 86 illustrations, 65 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031108693 |
DOI: |
10.1007/978-3-031-10869-3 |
Series Title: |
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Studies in Big Data ;
113 |
Subject (LOC): |
- Node Classification using Deep Learning in Social Networks
- NN-LP-CF: Neural Network based Link Prediction on Social Networks using Centrality-based Features
- Deep Learning for Code-Mixed Text Mining in Social Media: A Brief Review
- Convolutional and Recurrent Neural Networks for Opinion Mining on Drug Reviews
- Text-based Sentiment Analysis using Deep Learning Techniques
- Social Sentiment Analysis Using Features based Intelligent Learning Techniques.