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    【獨(dú)家發(fā)布】【2016新書】Sentiment Analysis and Ontology Engineering [推廣有獎(jiǎng)]

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    牛尾巴 發(fā)表于 2016-8-15 17:53:24 |只看作者 |壇友微信交流群|倒序 |AI寫論文
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    圖書名稱:Sentiment Analysis and Ontology Engineering

    作者:Witold Pedrycz, Shyi-Ming Chen

    出版社:
    Springer International Publishing
    頁(yè)數(shù):457
    出版時(shí)間:2016
                               
    語(yǔ)言:English

    格式:pdf
    內(nèi)容簡(jiǎn)介:
    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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