Deep Learning for Social Media Data Analytics

Author:   Tzung-Pei Hong ,  Leticia Serrano-Estrada ,  Akrati Saxena ,  Anupam Biswas
Publisher:   Springer International Publishing AG
Edition:   2022 ed.
Volume:   113
ISBN:  

9783031108686


Pages:   299
Publication Date:   19 September 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Deep Learning for Social Media Data Analytics


Overview

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.  

Full Product Details

Author:   Tzung-Pei Hong ,  Leticia Serrano-Estrada ,  Akrati Saxena ,  Anupam Biswas
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2022 ed.
Volume:   113
Weight:   0.635kg
ISBN:  

9783031108686


ISBN 10:   303110868
Pages:   299
Publication Date:   19 September 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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NOV RG 20252

 

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