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Title
Deep learning for social media data analytics / Tzung-Pei Hong, Leticia Serrano-Estrada, Akrati Saxena, Anupam Biswas, editors.
ISBN
9783031108693 (electronic bk.)
3031108698 (electronic bk.)
303110868X
9783031108686
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource (1 volume) : illustrations (black and white, and color).
Item Number
10.1007/978-3-031-10869-3 doi
Call Number
Q325.73
Dewey Decimal Classification
006.3/1
Summary
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, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. 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. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics. .
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Source of Description
Description based on print version record.
Series
Studies in big data ; v. 113.
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.