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  • Produktbild: Sentiment Analysis and Ontology Engineering
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Sentiment Analysis and Ontology Engineering An Environment of Computational Intelligence

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.04.2018

Abbildungen

X, 456 p. 103 illus., 73 illus. in color.

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, 456 p. 103 illus., 73 illus. in color.

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.