Topic Detection and Classification in Social Networks - Dimitrios Milioris

Topic Detection and Classification in Social Networks

The Twitter Case
Buch | Hardcover
XVI, 105 Seiten
2017 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-66413-2 (ISBN)
128,39 inkl. MwSt
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.

Dr. Dimitrios Milioris is a research associate and lecturer at the Massachusetts Institute of Technology (MIT). He received his Ph.D. from École Polytechnique Paris (2015, honors) while a scholar at Columbia University, New York, USA, as an Alliance Program awardee (2013 - 2014). He received his double M.Sc. degree (2011, first in class, honors) in computer science & applied mathematics from Paris XI University and the École Polytechnique, and his B.Sc. degree (2009, honors) in computer science from the University of Crete, Greece. Prior to joining MIT, he was a researcher at Bell Labs, Alcatel-Lucent in Paris, France, and a member of the Mathematics of Dynamic & Complex Networks Department. Prior to joining Bell Labs, he served as a research assistant at the Institute of Computer Science (ICS) of the Foundation for Research and Technology Hellas (FO.R.T.H.), and as a research engineer with the Hipercom Team at the National Institute for Research in Computer Science and Automatic Control (I.N.R.I.A.), followed by a compulsory military service in Telecommunications Division.

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

Erscheinungsdatum
Zusatzinfo XVI, 105 p. 38 illus., 25 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 355 g
Themenwelt Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Analysis in Twitter • Analytic Combinatorics • Analytic Combinatorics Application in Social Netwo • Analytic Combinatorics Application in Social Networks • Artificial Intelligence • Automatic Classification of Topics • Classification in Social Networks • Communications Engineering, Networks • Communications engineering / telecommunications • compressive sensing • Computational Intelligence • Computer Imaging, Vision, Pattern Recognition and • Computer networking & communications • Computer networking & communications • Computer Systems Organization and Communication Ne • computer vision • Dynamic Social Networks • Engineering • Engineering: general • Joint Complexity • Joint Sequence Complexity • Kalman Filter • language translation and linguistics • Natural language & machine translation • Natural language & machine translation • Privacy in Social Networks • Sparse Representation • topic detection • Topic Detection in Social Networks • Trend Sensing
ISBN-10 3-319-66413-1 / 3319664131
ISBN-13 978-3-319-66413-2 / 9783319664132
Zustand Neuware
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