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Topic detection and classification in social networks: the Twitter case

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Milioris, Dimitrios Unknown Springer International Publishing (Cham, Switzerland , 2018) (eng) English 9783319664149 Unknown 1st ed. OPTICAL DATA PROCESSING; Unknown 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
1 online resource (xvi, 105 p.) Unknown ill. (in col.)

Summary / review / table of contents

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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Access no. Call number Location Status
00525/20 006.312 Mil T Online Available