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Books > Computing & IT > Applications of computing > Artificial intelligence
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Sentiment Analysis and Ontology Engineering - An Environment of Computational Intelligence (Hardcover, 1st ed. 2016)
Loot Price: R4,873
Discovery Miles 48 730
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Sentiment Analysis and Ontology Engineering - An Environment of Computational Intelligence (Hardcover, 1st ed. 2016)
Series: Studies in Computational Intelligence, 639
Expected to ship within 10 - 15 working days
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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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