E-Book, Englisch, Band 639, 456 Seiten, eBook
An Environment of Computational Intelligence
E-Book, Englisch, Band 639, 456 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-319-30319-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Fundamentals
of Sentiment Analysis and
Its Applications.- Fundamentals of
Sentiment Analysis: Concepts and Methodology.- The Comprehension of Figurative Language: What is the Influence of Irony and Sarcasm on NLP Techniques?.- Probabilistic
Approaches for Sentiment Analysis: Latent Dirichlet Allocation for Ontology
Building and Sentiment Extraction.- Description Logic
Class Expression Learning Applied to Sentiment Analysis.- Capturing Digest Emotions
by Means of Fuzzy Linguistic Aggregation.- Hyperelastic-based
Adaptive Dynamics Methodology in Knowledge Acquisition for Computational
Intelligence on Ontology Engineering of Evolving Folksonomy Driven
Environment.- Sentiment-Oriented Information
Retrieval: Affective Analysis of Documents Based on the SenticNet Framework.- Interpretability of Computational
Models for Sentiment Analysis.- Chinese Micro-blog Emotion
Classification by Exploiting Linguistic Features and SVM
perf.-
Social Media and News Sentiment Analysis for Advanced Investment
Strategies.- Context
Aware Customer Experience Management: A Development Framework Based on
Ontologies and Computational Intelligence.- An Overview of
Sentiment Analysis in Social Media and Its Applications in Disaster Relief.- Big
Data Sentiment Analysis for Brand Monitoring in Social Media Streams by Cloud
Computing.- Neuro-Fuzzy Sentiment
Analysis for Customer Review Rating Prediction.- OntoLSA:
An Integrated Text Mining System for Ontology Learning and Sentiment Analysis.- Knowledge-based Tweet Classification for Disease Sentiment
Monitoring.
