Topic Detection and Classification in Social Networks The Twitter Case /

This book provides a novel method for topic detection and classification in social networks. The book addresses several research and technical challenges that are currently being investigated by the research community, from the analysis of relations and communications between members of a community,...

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Detaylı Bibliyografya
Yazar: Milioris, Dimitrios (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edisyon:1st ed. 2018.
Konular:
Telecommunication.
Computational intelligence.
Image processing > Digital techniques.
Computer vision.
Computer engineering.
Computer networks .
Natural language processing (Computer science).
Communications Engineering, Networks.
Computational Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Engineering and Networks.
Natural Language Processing (NLP).
Online Erişim:Full-text access
OPAC'ta görüntüle
Diğer Bilgiler
Özet:This book provides a novel method for topic detection and classification in social networks. The book addresses several research and technical challenges that are currently being investigated by the research community, from the analysis of relations and communications between members of a community, to quality, authority, relevance and timeliness of the content, traffic prediction based on media consumption, spam detection, to security, privacy and protection of personal information. Furthermore, the book discusses innovative techniques to address those challenges and provides novel solutions based on information theory, sequence analysis and combinatorics, which are applied on real data obtained from Twitter.
Fiziksel Özellikler:XVI, 105 p. 38 illus., 25 illus. in color. online resource.
ISBN:9783319664149
DOI:10.1007/978-3-319-66414-9

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