Sentiment Analysis and Ontology Engineering | An Environment of Computational Intelligence
Lingua: inglese
Editore: Springer, 2018
Serie: Libro 158 di 538 - Studies in Computational Intelligence
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Da: preigu, Osnabrück, Germaniapreigu
Venditore AbeBooks dal 5 agosto 2024
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EUR 140,10
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Sentiment Analysis and Ontology Engineering | An Environment of Computational Intelligence | Witold Pedrycz (u. a.) | Taschenbuch | x | Englisch | 2018 | Springer | EAN 9783319807799 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Codice articolo 114226183
- Titolo
- Sentiment Analysis and Ontology Engineering | An Environment of Computational Intelligence
- Autore
- Witold Pedrycz (u. a.)
- Editore
- Springer
- Anno di pubblicazione
- 2018
- Condizione
- Neu
- Rilegatura
- Taschenbuch
- Lingua
- inglese
- ISBN 10
- 331980779X
- ISBN 13
- 9783319807799
- Peso dell'articolo
- 703 grammi
- Dimensioni
- 235 x 155 x 26 mm
- Serie
- Libro 158 di 538: Studies in Computational Intelligence
- Cataloghi dei venditori
- Bücher
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 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.
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Dalla quarta di copertina
This editedvolume provides the reader with a fully updated, in-depth treatise on the emergingprinciples, conceptual underpinnings, algorithms and practice of ComputationalIntelligence in the realization of concepts and implementation of models ofsentiment analysis and ontology oriented engineering.
The volume involves studies devotedto key issues of sentiment analysis, sentiment models, and ontologyengineering. The book is structured into three main parts. The first partoffers a comprehensive and prudently structured exposure to the fundamentals ofsentiment analysis and natural language processing. The second part consists ofstudies devoted to the concepts, methodologies, and algorithmic developmentselaborating on fuzzy linguistic aggregation to emotion analysis, carrying outinterpretability of computational sentiment models, emotion classification,sentiment-oriented information retrieval, a methodology of adaptive dynamics inknowledge acquisition. The third part includes a plethora of applicationsshowing how sentiment analysis and ontologies becomes successfully applied toinvestment strategies, customer experience management, disaster relief,monitoring in social media, customer review rating prediction, and ontologylearning.
This book isaimed at a broad audience of researchers and practitioners. Readers involved inintelligent systems, data analysis, Internet engineering, ComputationalIntelligence, and knowledge-based systems will benefit from the exposure to thesubject matter. The book may also serveas a highly useful reference material for graduate students and seniorundergraduate students.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.
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Venditore AbeBooks dal 5 agosto 2024
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