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020 _a9783319303192
040 _aES-MaUEC
050 4 _aQ342
_b.S468 2016
082 0 4 _a006.3
245 1 0 _aSentiment Analysis and Ontology Engineering :
_bAn Environment of Computational Intelligence
_cedited by Witold Pedrycz, Shyi-Ming Chen
250 _a1st ed.
260 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (X, 456 páginas)
_b103 ilustraciones, 73 ilustraciones en color
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v639
505 0 _aFundamentals 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 SVMperf -- 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.
520 3 _aThis 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. .
650 7 _aProceso en lenguaje natural (Informática)
_0comprobar BNE19900997218
_2embne
_9158738
700 1 _aPedrycz, Witold
_d1953-
_eeditor literario
_0Local
_967495
700 1 _aChen, Shyi-Ming
_eeditor literario
_0Local
_998849
710 2 _aSpringerLink (Online service)
_0Local
_9106996
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-30319-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319303192
907 _a.b12949802
_b10-10-17
_c21-11-16
942 _2lcc
_cLE
945 _aQ342 .S468 2016 EB
_g1
_ieBOOK
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988 _aEBOOK, asignarmaterias , EBSPRINGER
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