Sentiment Analysis and Ontology Engineering

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.§