Topic Detection and Classification in Social Networks : The Twitter Case / by Dimitrios Milioris.

Format:

Book

Author/Creator:

Milioris, Dimitrios., Author.

Language:

English

Subjects (All):

Electrical engineering.

Computational intelligence.

Optical data processing.

Computer organization.

Natural language processing (Computer science).

Communications Engineering, Networks.

Computational Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Systems Organization and Communication Networks.

Natural Language Processing (NLP).

Local Subjects:

Communications Engineering, Networks.

Computational Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Systems Organization and Communication Networks.

Natural Language Processing (NLP).

Physical Description:

1 online resource (XVI, 105 p. 38 illus., 25 illus. in color.)

Edition:

1st ed. 2018.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

Summary:

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.

Contents:

Introduction

Background and Related Work

Joint Sequence Complexity

Text Classification via Compressive Sensing

Extension of Joint Complexity and Compressive Sensing

Conclusion.

Notes:

Includes bibliographical references and index.

ISBN:

3-319-66414-X