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Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence: Studies in Computational Intelligence, cartea 639

Editat de Witold Pedrycz, Shyi-Ming Chen
en Limba Engleză Hardback – 31 mar 2016
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. 
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Specificații

ISBN-13: 9783319303178
ISBN-10: 3319303171
Pagini: 456
Ilustrații: X, 456 p. 103 illus., 73 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.83 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Fundamentalsof Sentiment Analysis andIts Applications.- Fundamentals ofSentiment Analysis: Concepts and Methodology.- The Comprehension of Figurative Language: What is the Influence of Irony and Sarcasm on NLP Techniques?.- ProbabilisticApproaches for Sentiment Analysis: Latent Dirichlet Allocation for OntologyBuilding and Sentiment Extraction.- Description LogicClass Expression Learning Applied to Sentiment Analysis.- Capturing Digest Emotionsby Means of Fuzzy Linguistic Aggregation.- Hyperelastic-basedAdaptive Dynamics Methodology in Knowledge Acquisition for ComputationalIntelligence on Ontology Engineering of Evolving Folksonomy DrivenEnvironment.- Sentiment-Oriented InformationRetrieval: Affective Analysis of Documents Based on the SenticNet Framework.- Interpretability of ComputationalModels for Sentiment Analysis.- Chinese Micro-blog EmotionClassification by Exploiting Linguistic Features and SVMperf.- Social Media and News Sentiment Analysis for Advanced InvestmentStrategies.- ContextAware Customer Experience Management: A Development Framework Based onOntologies and Computational Intelligence.- An Overview ofSentiment Analysis in Social Media and Its Applications in Disaster Relief.- BigData Sentiment Analysis for Brand Monitoring in Social Media Streams by CloudComputing.- Neuro-Fuzzy SentimentAnalysis for Customer Review Rating Prediction.- OntoLSA:An Integrated Text Mining System for Ontology Learning and Sentiment Analysis.- Knowledge-based Tweet Classification for Disease SentimentMonitoring.

Textul de pe ultima copertă

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. 

Caracteristici

Recent ideas on Sentiment Analysis and Ontology Engineering Presents applications of Computational Intelligence to Sentiment Analysis Written by experts in the fascinating field of ontology engineering and sentiment analysis Includes supplementary material: sn.pub/extras