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001 978-3-319-30319-2
003 DE-He213
005 20220801221038.0
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008 160322s2016 sz | s |||| 0|eng d
020 _a9783319303192
_9978-3-319-30319-2
024 7 _a10.1007/978-3-319-30319-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aSentiment Analysis and Ontology Engineering
_h[electronic resource] :
_bAn Environment of Computational Intelligence /
_cedited by Witold Pedrycz, Shyi-Ming Chen.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aX, 456 p. 103 illus., 73 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_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 _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 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aPedrycz, Witold.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_953823
700 1 _aChen, Shyi-Ming.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_953824
710 2 _aSpringerLink (Online service)
_953825
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319303178
776 0 8 _iPrinted edition:
_z9783319303185
776 0 8 _iPrinted edition:
_z9783319807799
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v639
_953826
856 4 0 _uhttps://doi.org/10.1007/978-3-319-30319-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79233
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