• Produktbild: Sentiment Analysis and Ontology Engineering
  • Produktbild: Sentiment Analysis and Ontology Engineering
Band 639

Sentiment Analysis and Ontology Engineering An Environment of Computational Intelligence

Fr. 192.00

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.04.2018

Abbildungen

X, 103 illus., 73 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Witold Pedrycz + weitere

Verlag

Springer

Seitenzahl

456

Maße (L/B/H)

23.5/15.5/2.6 cm

Gewicht

703 g

Auflage

Softcover reprint of the original 1st ed. 2016

Sprache

Englisch

ISBN

978-3-319-80779-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.04.2018

Abbildungen

X, 103 illus., 73 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

456

Maße (L/B/H)

23.5/15.5/2.6 cm

Gewicht

703 g

Auflage

Softcover reprint of the original 1st ed. 2016

Sprache

Englisch

ISBN

978-3-319-80779-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Sentiment Analysis and Ontology Engineering
  • Produktbild: Sentiment Analysis and Ontology Engineering
  • 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.