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Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence
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Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence 在線電子書 圖書標籤: computing   

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發表於2024-10-02

Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence 在線電子書 著者簡介

Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence 在線電子書 著者簡介

Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence 在線電子書 圖書描述

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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