Topic detection and classification in social networks : the Twitter case 1st ed.

Author

• Milioris, Dimitrios

Additional Author(s)

-

Publisher

Cham, Switzerland : Springer International Publishing, 2018

Language

English

ISBN

9783319664149

Series

Subject(s)

• COMPUTATIONAL INTELLIGENCE
• ELECTRICAL ENGINEERING
• OPTICAL DATA PROCESSING

Notes

. .

Abstract

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.

Physical Dimension

Number of Page(s)

1 online resource (xvi, 105 p.)

Dimension

-

Other Desc.

ill. (in col.)

Summary / Review / Table of Content

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

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00525/20	006.312 Mil T	Online !	Available