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Deep Learning for Social Media Data Analytics

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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Bibliographic Details
Other Authors: Hong, Tzung-Pei (Editor), Serrano-Estrada, Leticia (Editor), Saxena, Akrati (Editor), Biswas, Anupam (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Studies in Big Data
Subjects:
Big Data
Computational Intelligence
Social Media
Data Engineering
Cyber-physical Systems
Engineering / Data Processing
Cooperating Objects (computer Systems)
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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