Topic Detection and Classification in Social Networks The Twitter Case
tarafından
 
Milioris, Dimitrios. author.

Başlık
Topic Detection and Classification in Social Networks The Twitter Case

Yazar
Milioris, Dimitrios. author.

ISBN
9783319664149

Yazar
Milioris, Dimitrios. author.

Edisyon
1st ed. 2018.

Fiziksel Niteleme
XVI, 105 p. 38 illus., 25 illus. in color. online resource.

İçindekiler
Introduction -- Background and Related Work -- Joint Sequence Complexity -- Text Classification via Compressive Sensing -- Extension of Joint Complexity and Compressive Sensing -- Conclusion.

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.

Konu Başlığı
Telecommunication.
 
Engineering.
 
Computer vision.
 
Computer network architectures.
 
Natural language processing (Computer science).
 
Communications Engineering, Networks. http://scigraph.springernature.com/things/product-market-codes/T24035
 
Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014
 
Computer Imaging, Vision, Pattern Recognition and Graphics. http://scigraph.springernature.com/things/product-market-codes/I22005
 
Computer Systems Organization and Communication Networks. http://scigraph.springernature.com/things/product-market-codes/I13006
 
Natural Language Processing (NLP). http://scigraph.springernature.com/things/product-market-codes/I21040

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-319-66414-9


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book221344-1001TK1 -9971Springer E-Book Collection