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Natural Language Processing and Information Systems

Overview of attention for book
Cover of 'Natural Language Processing and Information Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Fine-Grained Opinion Mining from Mobile App Reviews with Word Embedding Features
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    Chapter 2 Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis
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    Chapter 3 Feature Selection and Class-Weight Tuning Using Genetic Algorithm for Bio-molecular Event Extraction
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    Chapter 4 Automated Lexicon and Feature Construction Using Word Embedding and Clustering for Classification of ASD Diagnoses Using EHR
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    Chapter 5 Multi-objective Optimisation-Based Feature Selection for Multi-label Classification
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    Chapter 6 WikiTrends: Unstructured Wikipedia-Based Text Analytics Framework
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    Chapter 7 An Improved PLDA Model for Short Text
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    Chapter 8 Mining Incoherent Requirements in Technical Specifications
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    Chapter 9 Enriching Argumentative Texts with Implicit Knowledge
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    Chapter 10 Technical Aspect Extraction from Customer Reviews Based on Seeded Word Clustering
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    Chapter 11 Event Detection for Heterogeneous News Streams
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    Chapter 12 Twitter User Profiling Model Based on Temporal Analysis of Hashtags and Social Interactions
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    Chapter 13 Extracting Causal Relations Among Complex Events in Natural Science Literature
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    Chapter 14 Supporting Experts to Handle Tweet Collections About Significant Events
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    Chapter 15 Named Entity Classification Based on Profiles: A Domain Independent Approach
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    Chapter 16 Does the Strength of Sentiment Matter? A Regression Based Approach on Turkish Social Media
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    Chapter 17 AL-TERp: Extended Metric for Machine Translation Evaluation of Arabic
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    Chapter 18 A Morphological Approach for Measuring Pair-Wise Semantic Similarity of Sanskrit Sentences
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    Chapter 19 Word-Level Identification of Romanized Tunisian Dialect
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    Chapter 20 Named Entity Recognition in Turkish: Approaches and Issues
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    Chapter 21 Simplified Text-to-Pictograph Translation for People with Intellectual Disabilities
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    Chapter 22 What You Use, Not What You Do: Automatic Classification of Recipes
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    Chapter 23 Constructing Technical Knowledge Organizations from Document Structures
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    Chapter 24 Applications of Natural Language Techniques in Solving SmartHome Use-Cases
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    Chapter 25 A Method for Querying Touristic Information Extracted from the Web
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    Chapter 26 Towards Generating Object-Oriented Programs Automatically from Natural Language Texts for Solving Mathematical Word Problems
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    Chapter 27 Authorship Attribution System
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    Chapter 28 Estimating Distributed Representations of Compound Words Using Recurrent Neural Networks
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    Chapter 29 A Large-Scale CNN Ensemble for Medication Safety Analysis
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    Chapter 30 A Feature Based Simple Machine Learning Approach with Word Embeddings to Named Entity Recognition on Tweets
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    Chapter 31 Challenges and Solutions with Alignment and Enrichment of Word Embedding Models
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    Chapter 32 Legalbot: A Deep Learning-Based Conversational Agent in the Legal Domain
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    Chapter 33 Using Word Embeddings for Computing Distances Between Texts and for Authorship Attribution
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    Chapter 34 Combination of Neural Networks for Multi-label Document Classification
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    Chapter 35 Supporting Business Process Modeling Using RNNs for Label Classification
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    Chapter 36 A Convolutional Neural Network Based Sentiment Classification and the Convolutional Kernel Representation
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    Chapter 37 Quotology - Reading Between the Lines of Quotations
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    Chapter 38 Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels
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    Chapter 39 Does Optical Character Recognition and Caption Generation Improve Emotion Detection in Microblog Posts?
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    Chapter 40 Identifying Right-Wing Extremism in German Twitter Profiles: A Classification Approach
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    Chapter 41 An Approach for Defining the Author Reputation of Comments on Products
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    Chapter 42 Quality of Word Embeddings on Sentiment Analysis Tasks
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    Chapter 43 A Hierarchical Iterative Attention Model for Machine Comprehension
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    Chapter 44 A Syntactic Parse-Key Tree-Based Approach for English Grammar Question Retrieval
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    Chapter 45 A Discriminative Possibilistic Approach for Query Translation Disambiguation
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    Chapter 46 Building TALAA-AFAQ, a Corpus of Arabic FActoid Question-Answers for a Question Answering System
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    Chapter 47 Detecting Non-covered Questions in Frequently Asked Questions Collections
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    Chapter 48 Vector Space Representation of Concepts Using Wikipedia Graph Structure
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    Chapter 49 Composite Semantic Relation Classification
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    Chapter 50 Vector Embedding of Wikipedia Concepts and Entities
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    Chapter 51 TEKNO: Preparing Legacy Technical Documents for Semantic Information Systems
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    Chapter 52 Improving Document Classification Effectiveness Using Knowledge Exploited by Ontologies
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    Chapter 53 Document Aboutness via Sophisticated Syntactic and Semantic Features
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    Chapter 54 Summarizing Web Documents Using Sequence Labeling with User-Generated Content and Third-Party Sources
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    Chapter 55 “What Does My Classifier Learn?” A Visual Approach to Understanding Natural Language Text Classifiers
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    Chapter 56 Gated Neural Network for Sentence Compression Using Linguistic Knowledge
  58. Altmetric Badge
    Chapter 57 A Study on Flexibility in Natural Language Generation Through a Statistical Approach to Story Generation
Overall attention for this book and its chapters
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20 X users
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Title
Natural Language Processing and Information Systems
Published by
Springer, January 2017
DOI 10.1007/978-3-319-59569-6
ISBNs
978-3-31-959569-6, 978-3-31-959568-9
Authors

Frasincar, Flavius, Ittoo, Ashwin, Nguyen, Le Minh, Metais, Elisabeth

Editors

Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, Elisabeth Métais

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
India 1 <1%
Russia 1 <1%
Brazil 1 <1%
Unknown 99 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 17%
Student > Master 16 16%
Student > Bachelor 6 6%
Researcher 6 6%
Professor > Associate Professor 5 5%
Other 17 17%
Unknown 36 35%
Readers by discipline Count As %
Computer Science 42 41%
Engineering 7 7%
Linguistics 3 3%
Business, Management and Accounting 3 3%
Social Sciences 3 3%
Other 7 7%
Unknown 38 37%