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Sentiment Analysis and Ontology Engineering

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Cover of 'Sentiment Analysis and Ontology Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Fundamentals of Sentiment Analysis and Its Applications
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    Chapter 2 Fundamentals of Sentiment Analysis: Concepts and Methodology
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    Chapter 3 The Comprehension of Figurative Language: What Is the Influence of Irony and Sarcasm on NLP Techniques?
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    Chapter 4 Probabilistic Approaches for Sentiment Analysis: Latent Dirichlet Allocation for Ontology Building and Sentiment Extraction
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    Chapter 5 Description Logic Class Expression Learning Applied to Sentiment Analysis
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    Chapter 6 Capturing Digest Emotions by Means of Fuzzy Linguistic Aggregation
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    Chapter 7 Hyperelastic-Based Adaptive Dynamics Methodology in Knowledge Acquisition for Computational Intelligence on Ontology Engineering of Evolving Folksonomy Driven Environment
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    Chapter 8 Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework
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    Chapter 9 Interpretability of Computational Models for Sentiment Analysis
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    Chapter 10 Chinese Micro-Blog Emotion Classification by Exploiting Linguistic Features and SVM \(^{\textit{perf}}\)
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    Chapter 11 Social Media and News Sentiment Analysis for Advanced Investment Strategies
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    Chapter 12 Context Aware Customer Experience Management: A Development Framework Based on Ontologies and Computational Intelligence
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    Chapter 13 An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief
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    Chapter 14 Big Data Sentiment Analysis for Brand Monitoring in Social Media Streams by Cloud Computing
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    Chapter 15 Neuro-Fuzzy Sentiment Analysis for Customer Review Rating Prediction
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    Chapter 16 OntoLSA—An Integrated Text Mining System for Ontology Learning and Sentiment Analysis
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    Chapter 17 Knowledge-Based Tweet Classification for Disease Sentiment Monitoring
Attention for Chapter 13: An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief
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Chapter title
An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief
Chapter number 13
Book title
Sentiment Analysis and Ontology Engineering
Published by
Springer International Publishing, March 2016
DOI 10.1007/978-3-319-30319-2_13
Book ISBNs
978-3-31-930317-8, 978-3-31-930319-2

Ghazaleh Beigi, Xia Hu, Ross Maciejewski, Huan Liu, Beigi, Ghazaleh, Hu, Xia, Maciejewski, Ross, Liu, Huan


Witold Pedrycz, Shyi-Ming Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sri Lanka 1 <1%
Switzerland 1 <1%
Unknown 320 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 62 19%
Student > Ph. D. Student 60 19%
Lecturer 22 7%
Student > Bachelor 21 7%
Researcher 17 5%
Other 31 10%
Unknown 109 34%
Readers by discipline Count As %
Computer Science 107 33%
Engineering 22 7%
Social Sciences 21 7%
Business, Management and Accounting 19 6%
Economics, Econometrics and Finance 7 2%
Other 32 10%
Unknown 114 35%