Topic Detection and Classification in Social Networks
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Topic Detection and Classification in Social Networks

The Twitter Case
 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783319664149
Veröffentl:
2017
Einband:
eBook
Seiten:
105
Autor:
Dimitrios Milioris
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

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.

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.

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

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