Sentiment Analysis and Ontology Engineering An Environment of Computational Intelligence /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Pedrycz, Witold (Επιμελητής έκδοσης), Chen, Shyi-Ming (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Studies in Computational Intelligence, 639
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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 engineer...

Πίνακας περιεχομένων:

• 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 SVMperf
• 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.