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Topic detection and classification i...

Milioris, Dimitrios.

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Topic detection and classification in social networks = the Twitter case /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Topic detection and classification in social networks/ by 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.
[NT 15003449]:	Introduction -- Background and Related Work -- Joint Sequence Complexity -- Text Classification via Compressive Sensing -- Extension of Joint Complexity and Compressive Sensing -- Conclusion.
Contained By:	Springer eBooks
Subject:	Data mining. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-66414-9
ISBN:	9783319664149

Topic detection and classification in social networks = the 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

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

Twitter.
Subjects--Topical Terms:

562972
Data mining.

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

Dewey Class. No.: 006.312

Topic detection and classification in social networks = the Twitter case /
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100 1 $a Milioris, Dimitrios. $3 3297477
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.
630 0 0 $a Twitter. $3 961665
650 0 $a Data mining. $3 562972
650 0 $a Online social networks. $3 624374
650 1 4 $a Engineering. $3 586835
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650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Computer Systems Organization and Communication Networks. $3 891212
650 2 4 $a Language Translation and Linguistics. $3 892561
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