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Topic detection and classification i...

Milioris, Dimitrios.

Topic detection and classification in social networksthe Twitter case /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Topic detection and classification in social networksby Dimitrios Milioris.
Reminder of title:	the Twitter case /
Author:	Milioris, Dimitrios.
Published:	Cham :Springer International Publishing :2018.
Description:	xvi, 105 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Data mining.
Online resource:	http://dx.doi.org/10.1007/978-3-319-66414-9
ISBN:	9783319664149$q(electronic bk.)

Topic detection and classification in social networksthe Twitter case /
Milioris, Dimitrios.

Topic detection and classification in social networksthe Twitter case /[electronic resource] :by Dimitrios Milioris. - Cham :Springer International Publishing :2018. - xvi, 105 p. :ill., digital ;24 cm.

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

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.

ISBN: 9783319664149$q(electronic bk.)

Standard No.: 10.1007/978-3-319-66414-9doiSubjects--Uniform Titles:

Twitter.
Subjects--Topical Terms:

184440
Data mining.

LC Class. No.: QA76.9.D343 / M55 2018

Dewey Class. No.: 006.312

Topic detection and classification in social networksthe Twitter case /
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100 1 $a Milioris, Dimitrios. $3 801320
245 1 0 $a Topic detection and classification in social networks $h [electronic resource] : $b the Twitter case / $c by Dimitrios Milioris.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xvi, 105 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Background and Related Work -- Joint Sequence Complexity -- Text Classification via Compressive Sensing -- Extension of Joint Complexity and Compressive Sensing -- Conclusion.
520 $a 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.
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650 0 $a Online social networks. $3 281852
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650 2 4 $a Computer Systems Organization and Communication Networks. $3 273709
650 2 4 $a Language Translation and Linguistics. $3 274469
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