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Sentiment Analysis and Ontology Engineering

An Environment of Computational Intelligence

  • Witold Pedrycz
  • Shyi-Ming Chen

Part of the Studies in Computational Intelligence book series (SCI, volume 639)

Table of contents

  1. Front Matter
    Pages i-x
  2. Mohsen Farhadloo, Erik Rolland
    Pages 1-24
  3. A. B. Pawar, M. A. Jawale, D. N. Kyatanavar
    Pages 25-48
  4. Leila Weitzel, Ronaldo Cristiano Prati, Raul Freire Aguiar
    Pages 49-74
  5. Francesco Colace, Massimo De Santo, Luca Greco, Vincenzo Moscato, Antonio Picariello
    Pages 75-91
  6. Alberto Salguero, Macarena Espinilla
    Pages 93-111
  7. C. Brenga, A. Celotto, V. Loia, S. Senatore
    Pages 113-139
  8. Federica Bisio, Claudia Meda, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
    Pages 175-197
  9. Han Liu, Mihaela Cocea, Alexander Gegov
    Pages 199-220
  10. Steve Y. Yang, Sheung Yin Kevin Mo
    Pages 237-272
  11. Hafedh Mili, Imen Benzarti, Marie-Jean Meurs, Abdellatif Obaid, Javier Gonzalez-Huerta, Narjes Haj-Salem et al.
    Pages 273-311
  12. Ghazaleh Beigi, Xia Hu, Ross Maciejewski, Huan Liu
    Pages 313-340
  13. Georgina Cosma, Giovanni Acampora
    Pages 379-397
  14. Ahmad Kamal, Muhammad Abulaish, Jahiruddin
    Pages 399-423
  15. Xiang Ji, Soon Ae Chun, James Geller
    Pages 425-454
  16. Back Matter
    Pages 455-456

About this book

Introduction

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. 

Keywords

Computational Intelligence Intelligent Systems Ontology Ontology Engineering Sentiment Analysis

Editors and affiliations

  • Witold Pedrycz
    • 1
  • Shyi-Ming Chen
    • 2
  1. 1.Department of Electrical and ComputerUniversity of AlbertaEdmontonCanada
  2. 2.and TechnologyNational Taiwan University of ScienTaipeiTaiwan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-30319-2
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-30317-8
  • Online ISBN 978-3-319-30319-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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