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Web Information Systems and Technologies

Overview of attention for book
Cover of 'Web Information Systems and Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Virtual Testing Environment for Smart Automations in the Internet of Things
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    Chapter 2 Machine Learning Based Finding of Similar Sentences from French Clinical Notes
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    Chapter 3 A Comparative Study of Energy Domain Ontologies
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    Chapter 4 Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification
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    Chapter 5 Towards Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil
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    Chapter 6 Indonesia Government and Social Networks: Response Analysis About Food Security During COVID-19 Pandemic
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    Chapter 7 An Adaptive Filter for Preference Fine-Tuning in Recommender Systems
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    Chapter 8 Graph-Based Recommendation Engine for Stock Investment Decisions
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    Chapter 9 LDViz: A Tool to Assist the Multidimensional Exploration of SPARQL Endpoints
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    Chapter 10 Flexible Detection of Similar DOM Elements
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    Chapter 11 GeoSoft : A Language for Soft Querying Features Within GeoJSON Information Layers
Attention for Chapter 5: Towards Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil
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Readers on

mendeley
2 Mendeley
Summary
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Chapter title
Towards Intelligent Processing of Electronic Invoices: The General Framework and Case Study of Short Text Deep Learning in Brazil
Chapter number 5
Book title
Web Information Systems and Technologies
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-24197-0_5
Book ISBNs
978-3-03-124196-3, 978-3-03-124197-0
Authors

Kieckbusch, Diego Santos, Filho, Geraldo Pereira Rocha, Di Oliveira, Vinicius, Weigang, Li

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unknown 2 100%

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