Sentiment Analysis and Ontology Engineering
An Environment of Computational Intelligence
Editors: Pedrycz, Witold, Chen, Shyi-Ming (Eds.)
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- About this book
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This edited volume provides the reader with a fully updated, in-depth treatise on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of models of sentiment analysis and ontology –oriented engineering.
The volume involves studies devoted to key issues of sentiment analysis, sentiment models, and ontology engineering. The book is structured into three main parts. The first part offers a comprehensive and prudently structured exposure to the fundamentals of sentiment analysis and natural language processing. The second part consists of studies devoted to the concepts, methodologies, and algorithmic developments elaborating on fuzzy linguistic aggregation to emotion analysis, carrying out interpretability of computational sentiment models, emotion classification, sentiment-oriented information retrieval, a methodology of adaptive dynamics in knowledge acquisition. The third part includes a plethora of applications showing how sentiment analysis and ontologies becomes successfully applied to investment strategies, customer experience management, disaster relief, monitoring in social media, customer review rating prediction, and ontology learning.
This book is aimed at a broad audience of researchers and practitioners. Readers involved in intelligent systems, data analysis, Internet engineering, Computational Intelligence, and knowledge-based systems will benefit from the exposure to the subject matter. The book may also serve as a highly useful reference material for graduate students and senior undergraduate students.
- Table of contents (17 chapters)
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Fundamentals of Sentiment Analysis and Its Applications
Pages 1-24
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Fundamentals of Sentiment Analysis: Concepts and Methodology
Pages 25-48
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The Comprehension of Figurative Language: What Is the Influence of Irony and Sarcasm on NLP Techniques?
Pages 49-74
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Probabilistic Approaches for Sentiment Analysis: Latent Dirichlet Allocation for Ontology Building and Sentiment Extraction
Pages 75-91
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Description Logic Class Expression Learning Applied to Sentiment Analysis
Pages 93-111
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Table of contents (17 chapters)
- Download Preface 1 PDF (49.3 KB)
- Download Sample pages 2 PDF (214.9 KB)
- Download Table of contents PDF (60.4 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Sentiment Analysis and Ontology Engineering
- Book Subtitle
- An Environment of Computational Intelligence
- Editors
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- Witold Pedrycz
- Shyi-Ming Chen
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 639
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-30319-2
- DOI
- 10.1007/978-3-319-30319-2
- Hardcover ISBN
- 978-3-319-30317-8
- Softcover ISBN
- 978-3-319-80779-9
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- X, 456
- Number of Illustrations
- 30 b/w illustrations, 73 illustrations in colour
- Topics
