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Analysis of Images, Social Networks and Texts

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Cover of 'Analysis of Images, Social Networks and Texts'

Table of Contents

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    Book Overview
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    Chapter 1 Characterization of Database Dependencies with FCA and Pattern Structures
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    Chapter 2 Review of Relation Extraction Methods: What Is New Out There?
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    Chapter 3 Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization
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    Chapter 4 The View on Open Data and Data Journalism: Cases, Educational Resources and Current Trends
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    Chapter 5 A Fast Mathematical Morphological Algorithm of Video-Based Moving Forklift Truck Detection in Noisy Environment
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    Chapter 6 Editing and Representation of Ancient Russian Semiographic Chants on the Web
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    Chapter 7 Detection of Domain-Specific Trends in Text Collections
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    Chapter 8 A Study of Formal and Informal Relations of Russian-Speaking Facebook Users
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    Chapter 9 Single-Sentence Readability Prediction in Russian
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    Chapter 10 Matchings and Decision Trees for Determining Optimal Therapy
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    Chapter 11 Indicators of Connectivity for Urban Scientific Communities in Russian Cities
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    Chapter 12 A Gradient Method for Generating Facial Barcodes
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    Chapter 13 Fingerprint Identification Algorithm Based on Delaunay Triangulation and Cylinder Codes
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    Chapter 14 Automatic Generation of Text-Based Open Cloze Exercises
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    Chapter 15 Alternative Ways for Loss-Given-Default Estimation in Retail Banking
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    Chapter 16 Conceptual Maps: Construction Over a Text Collection and Analysis
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    Chapter 17 Detecting Gender by Full Name: Experiments with the Russian Language
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    Chapter 18 Clustering Narrow-Domain Short Texts Using K-Means, Linguistic Patterns and LSI
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    Chapter 19 Analysis of Twitter Users’ Mood for Prediction of Gold and Silver Prices in the Stock Market
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    Chapter 20 Automatic Contrast Parameter Estimation in Anisotropic Diffusion for Image Restoration
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    Chapter 21 Evaluation of the Delta TF-IDF Features for Sentiment Analysis
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    Chapter 22 Image Restoration Algorithm Based on Regularization and Adaptation
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    Chapter 23 Cognitive Semiotic Model for Query Expansion in Question Answering
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    Chapter 24 Clause-Based Approach to Extracting Problem Phrases from User Reviews of Products
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    Chapter 25 VKF-Method of Hypotheses Generation
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    Chapter 26 Neural Models for Recognition of Basic Units of Semiographic Chants
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    Chapter 27 Enhancing Russian Wordnets Using the Force of the Crowd
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    Chapter 28 Search Engine of Mentions of Russian Companies on the Internet
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    Chapter 29 Untangling the Semantic Web: Microdata Use in Russian Video Content Delivery Sites
Overall attention for this book and its chapters
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Title
Analysis of Images, Social Networks and Texts
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-12580-0
ISBNs
978-3-31-912579-4, 978-3-31-912580-0
Authors

Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav E. Yavorsky

Editors

Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav E. Yavorsky

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Canada 1 <1%
Mexico 1 <1%
Greece 1 <1%
United States 1 <1%
Unknown 181 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 22%
Student > Master 29 16%
Researcher 20 11%
Student > Bachelor 13 7%
Student > Postgraduate 9 5%
Other 27 15%
Unknown 48 26%
Readers by discipline Count As %
Computer Science 77 41%
Social Sciences 12 6%
Business, Management and Accounting 11 6%
Engineering 10 5%
Mathematics 4 2%
Other 21 11%
Unknown 51 27%