Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence (Studies in Computational Intelligence, 639, Band 639) [Hardcover] Pedrycz, Witold and Chen, Shyi-Ming

Pedrycz, Witold; Chen, Shyi-Ming

ISBN 10: 3319303171 / ISBN 13: 9783319303178

Edité par Springer, 2016

A propos de cet article

Like new. Immediately dispatched from Germany.

N° de réf. du vendeur CEN-2403C-CENKISTE7-22-1000

Détails bibliographiques

• Titre: Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence (Studies in Computational Intelligence, 639, Band 639) [Hardcover] Pedrycz, Witold and Chen, Shyi-Ming
• Éditeur: Springer
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 3319303171
• ISBN à 13 chiffres: 9783319303178
• Reliure: Hardcover
• Édition: 1. Auflage
• État de l'article: As New

A propos de ce titre

Synopsis

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.