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Deep Learning for Social Media Data Analytics / edited by Tzung-Pei Hong, Leticia Serrano-Estrada, Akrati Saxena, Anupam Biswas
(Studies in Big Data. ISSN:21976511 ; 113)

データ種別 電子ブック
1st ed. 2022.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2022
大きさ X, 299 p. 86 illus., 65 illus. in color : online resource
著者標目 Hong, Tzung-Pei editor
Serrano-Estrada, Leticia editor
Saxena, Akrati editor
Biswas, Anupam editor
SpringerLink (Online service)

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射水-電子 007 EB0001282 Computer Scinece R0 2005-6,2022-3

9783031108693

書誌詳細を非表示

一般注記 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
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.
HTTP:URL=https://doi.org/10.1007/978-3-031-10869-3
件 名 LCSH:Engineering -- Data processing  全ての件名で検索
LCSH:Cooperating objects (Computer systems)
LCSH:Computational intelligence
LCSH:Big data
LCSH:Social media
FREE:Data Engineering
FREE:Cyber-Physical Systems
FREE:Computational Intelligence
FREE:Big Data
FREE:Social Media
分 類 LCC:TA345-345.5
DC23:620.00285
書誌ID EB00000670
ISBN 9783031108693

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