Topic Detection and Classification in Social Networks - The Twitter Case (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2017
First published:	2018
Authors:	Dimitrios Milioris
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	105
Edition:	1st ed. 2018
ISBN-13:	978-3-319-66413-2
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN:	3-319-66413-1
Barcode:	9783319664132

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