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BuchGebunden
299 Seiten
Englisch
Springererschienen am19.09.20221st ed. 2022
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.mehr
Verfügbare Formate
BuchGebunden
EUR160,49
BuchKartoniert, Paperback
EUR160,49
E-BookPDF1 - PDF WatermarkE-Book
EUR149,79

Produkt

KlappentextThis 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.
Zusammenfassung
Covers ongoing research in both theory and practical applications

Presents recent research on deep learning for social media data analytics

Shows challenges emerged from the volume of social media data

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

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