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Artificial Intelligence and Natural Language

Overview of attention for book
Cover of 'Artificial Intelligence and Natural Language'

Table of Contents

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    Book Overview
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    Chapter 1 Effects of Training Data Size and Class Imbalance on the Performance of Classifiers
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    Chapter 2 SentiRusColl: Russian Collocation Lexicon for Sentiment Analysis
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    Chapter 3 An Approach to Inter-annotator Agreement Evaluation for the Named Entities Annotation Task at OpenCorpora
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    Chapter 4 Soft Estimates of User Protection from Social Engineering Attacks
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    Chapter 5 Retrieval of Visually Shared News
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    Chapter 6 Comparative Analysis of Scientific Papers Collections via Topic Modeling and Co-authorship Networks
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    Chapter 7 Experimental Comparison of Unsupervised Approaches in the Task of Separating Specializations Within Professions in Job Vacancies
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    Chapter 8 Usage of HMM-Based Speech Recognition Methods for Automated Determination of a Similarity Level Between Languages
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    Chapter 9 Prosodic Boundaries Prediction in Russian Using Morphological and Syntactic Features
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    Chapter 10 Binary Autoencoder for Text Modeling
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    Chapter 11 Bi-LSTM Model for Morpheme Segmentation of Russian Words
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    Chapter 12 An Approach to Abstractive Summarization for Norwegian Bokmål
Attention for Chapter 6: Comparative Analysis of Scientific Papers Collections via Topic Modeling and Co-authorship Networks
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Readers on

mendeley
12 Mendeley
Summary
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Chapter title
Comparative Analysis of Scientific Papers Collections via Topic Modeling and Co-authorship Networks
Chapter number 6
Book title
Artificial Intelligence and Natural Language
Published by
Springer, Cham, November 2019
DOI 10.1007/978-3-030-34518-1_6
Book ISBNs
978-3-03-034517-4, 978-3-03-034518-1
Authors

Fedor Krasnov, Alexander Dimentov, Mikhail Shvartsman, Krasnov, Fedor, Dimentov, Alexander, Shvartsman, Mikhail

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Ph. D. Student 2 17%
Librarian 1 8%
Student > Master 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 5 42%
Social Sciences 2 17%
Unknown 5 42%

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