Sentiment analysis and ontology engineering an environment of computational intelligence

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Weitere Verfasser: Pedrycz, Witold 1953- (HerausgeberIn), Chen, Shyi-Ming (HerausgeberIn)
Format: Buch
Sprache:English
Veröffentlicht: [Cham] Springer [2016]
Schriftenreihe:Studies in computational intelligence volume 639
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Datensatz im Suchindex

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adam_text Contents Fundamentals of Sentiment Analysis and Its Applications........... 1 Mohsen Farhadloo and Erik Rolland Fundamentals of Sentiment Analysis: Concepts and Methodology......... 25 A.B. Pawar, M.A. Jawale and D.N. Kyatanavar The Comprehension of Figurative Language: What Is the Influence of Irony and Sarcasm on NLP Techniques?................................ 49 Leila Weitzel, Ronaldo Cristiano Prati and Raul Freire Aguiar Probabilistic Approaches for Sentiment Analysis: Latent Diiichlet Allocation for Ontology Building and Sentiment Extraction.............. 75 Francesco Colace, Massimo De Santo, Luca Greco, Vincenzo Moscato and Antonio Picariello Description Logic Class Expression Learning Applied to Sentiment Analysis................................................ 93 Alberto Salguero and Macarena Espinilla Capturing Digest Emotions by Means of Fuzzy Linguistic Aggregation.................... . . ................................. 113 C. Brenga, A. Celotto, V. Loia and S. Senatore Hyperelastic-Based Adaptive Dynamics Methodology in Knowledge Acquisition for Computational Intelligence on Ontology Engineering of Evolving Folksonomy Driven Environment............................. 141 Massimiliano Dal Mas Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework............... 175 Federica Bisio, Claudia Meda, Paolo Gastaldo, Rodolfo Zunino and Erik Cambria Interpretability of Computational Models for Sentiment Analysis...... 199 Han Liu, Mihaela Cocea and Alexander Gegov ix X Contents Chinese Micro-Blog Emotion Classification by Exploiting Linguistic Features and SVMP^..................................... 221 Hua Xu, Fan Zhang, Jiushuo Wang and Weiwei Yang Social Media and News Sentiment Analysis for Advanced Investment Strategies............................................. 237 Steve Y. Yang and Sheung Yin Kevin Mo Context Aware Customer Experience Management: A Development Framework Based on Ontologies and Computational Intelligence....... 273 Hafedh Mili, Imen Benzarti, Marie-Jean Meurs, Abdellatif Obaid, Javier Gonzalez-Huerta, Naijes Haj-Salem and Anis Boubaker An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief.................................... 313 Ghazaleh Beigi, Xia Hu, Ross Maciejewski and Huan Liu Big Data Sentiment Analysis for Brand Monitoring in Social Media Streams by Cloud Computing........................ 341 Francesco Benedetto and Antonio Tedeschi Neuro-Fuzzy Sentiment Analysis for Customer Review Rating Prediction....................................................... 379 Georgina Cosma and Giovanni Acampora OntoLSA—An Integrated Text Mining System for Ontology Learning and Sentiment Analysis.................................. 399 Ahmad Kamal, Muhammad Abulaish and Jahiruddin Knowledge-Based Tweet Classification for Disease Sentiment Monitoring ..................................................... 425 Xiang Ji, Soon Ae Chun and James Geller Index 455 Studies in Computational intelligence 639 Witold Pedrycz • Shyi-Ming Chen Editors Sentiment Analysis and Ontology Engineering An Environment of Computational Intelligence 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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Engineering
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Ingenieurwissenschaften
Künstliche Intelligenz
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Studies in computational intelligence volume 639 (DE-604)BV020822171 639
Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028935654&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028935654&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext
spellingShingle Sentiment analysis and ontology engineering an environment of computational intelligence
Studies in computational intelligence
Engineering
Artificial intelligence
Computational intelligence
Computational Intelligence
Artificial Intelligence (incl. Robotics)
Ingenieurwissenschaften
Künstliche Intelligenz
Maschinelles Sehen (DE-588)4129594-8 gnd
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Gefühlsausdruck (DE-588)4156267-7 gnd
Künstliche Intelligenz (DE-588)4033447-8 gnd
subject_GND (DE-588)4129594-8
(DE-588)4075660-9
(DE-588)4156267-7
(DE-588)4033447-8
(DE-588)4143413-4
title Sentiment analysis and ontology engineering an environment of computational intelligence
title_auth Sentiment analysis and ontology engineering an environment of computational intelligence
title_exact_search Sentiment analysis and ontology engineering an environment of computational intelligence
title_full Sentiment analysis and ontology engineering an environment of computational intelligence Witold Pedrycz, Shyi-Ming Chen, editors
title_fullStr Sentiment analysis and ontology engineering an environment of computational intelligence Witold Pedrycz, Shyi-Ming Chen, editors
title_full_unstemmed Sentiment analysis and ontology engineering an environment of computational intelligence Witold Pedrycz, Shyi-Ming Chen, editors
title_short Sentiment analysis and ontology engineering
title_sort sentiment analysis and ontology engineering an environment of computational intelligence
title_sub an environment of computational intelligence
topic Engineering
Artificial intelligence
Computational intelligence
Computational Intelligence
Artificial Intelligence (incl. Robotics)
Ingenieurwissenschaften
Künstliche Intelligenz
Maschinelles Sehen (DE-588)4129594-8 gnd
Ontologie (DE-588)4075660-9 gnd
Gefühlsausdruck (DE-588)4156267-7 gnd
Künstliche Intelligenz (DE-588)4033447-8 gnd
topic_facet Engineering
Artificial intelligence
Computational intelligence
Computational Intelligence
Artificial Intelligence (incl. Robotics)
Ingenieurwissenschaften
Künstliche Intelligenz
Maschinelles Sehen
Ontologie
Gefühlsausdruck
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