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OverviewThis 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 DetailsAuthor: Tzung-Pei Hong , Leticia Serrano-Estrada , Akrati Saxena , Anupam BiswasPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2022 ed. Volume: 113 Weight: 0.635kg ISBN: 9783031108686ISBN 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 We will order this item for you from a manufactured on demand supplier. Table of ContentsNode 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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