Analysis of Images, Social Networks and Texts [electronic resource] : 6th International Conference, AIST 2017, Moscow, Russia, July 27–29, 2017, Revised Selected Papers /

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Material type: Text

TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 10716Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XXX, 412 p. 105 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319730134

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.312 23

LOC classification:

QA76.9.D343

Online resources:

Click here to access online

Contents:

Natural language processing -- General topics of data analysis -- Analysis of images and video -- Optimization problems on graphs and network structures -- Analysis of dynamic behavior through event data -- Social network analysis.

In: Springer Nature eBookSummary: This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017. The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. The papers are organized in topical sections on natural language processing; general topics of data analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behavior through event data; social network analysis.

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This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017. The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. The papers are organized in topical sections on natural language processing; general topics of data analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behavior through event data; social network analysis.

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