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Synopsis
Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and network data.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Andrea Fronzetti Colladon is Associate Professor of Business Leadership and Intelligence at Roma Tre University, Italy.
Roberto Vestrelli is a PhD candidate in Industrial and Information Engineering at the University of Perugia, Italy.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Social Network Analysis and Text Mining for Big Data: The Power of Words and Networks
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Social Network Analysis and Text Mining for Big Data: The Power of Words and Networks
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Social Network Analysis and Text Mining for Big Data: The Power of Words and Networks
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Social Network Analysis and Text Mining for Big Data (Hardcover)
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Taylor & Francis Ltd, London, 2025
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ISBN 13 : 9781032824994
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Hardcover. Etat : new. Hardcover. Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and network data. These tools are designed to cater to the needs of both business analysts and researchers to facilitate the creation of groundbreaking analytics.Beginning with clear definitions of social network analysis and text mining, this book benefits from a thoughtfully curated selection of methods and tools, drawn from the authors extensive research in the field. The focus then shifts to demonstrate how the interplay between words and networks can unlock the full potential of big data analytics. A centerpiece of the book is the Semantic Brand Score (SBS), a versatile and powerful metric for assessing brand importance through text analysis. All of the above is corroborated and illustrated with practical applications and case studies showing the value of these analytics in supporting change and improved managerial decisions. It also introduces a specialized software tool which enables users to perform the analyses detailed in the text.This book is a must-read for business leaders, marketing professionals, policymakers, researchers, and university students. It offers practical insights and actionable advice for achieving increased performance of companies and societal actions. The writing is tailored to make complex concepts accessible to both experienced researchers and readers who are new to the field. Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and network data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032824994
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Social Network Analysis and Text Mining for Big Data
Edité par
Taylor & Francis, 2025
ISBN 10 : 1032824999
ISBN 13 : 9781032824994
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Andrea Fronzetti Colladon is Associate Professor of Business Leadership and Intelligence at Roma Tre University, Italy.Roberto Vestrelli is a PhD candidate in Industrial and Information Engineering at the University of Perugia, Italy. N° de réf. du vendeur 2131226488
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Social Network Analysis and Text Mining for Big Data: The Power of Words and Networks
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Social Network Analysis and Text Mining for Big Data: The Power of Words and Networks
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Social Network Analysis and Text Mining for Big Data (Hardcover)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032824999
ISBN 13 : 9781032824994
Neuf
Couverture rigide
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Hardcover. Etat : new. Hardcover. Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and network data. These tools are designed to cater to the needs of both business analysts and researchers to facilitate the creation of groundbreaking analytics.Beginning with clear definitions of social network analysis and text mining, this book benefits from a thoughtfully curated selection of methods and tools, drawn from the authors extensive research in the field. The focus then shifts to demonstrate how the interplay between words and networks can unlock the full potential of big data analytics. A centerpiece of the book is the Semantic Brand Score (SBS), a versatile and powerful metric for assessing brand importance through text analysis. All of the above is corroborated and illustrated with practical applications and case studies showing the value of these analytics in supporting change and improved managerial decisions. It also introduces a specialized software tool which enables users to perform the analyses detailed in the text.This book is a must-read for business leaders, marketing professionals, policymakers, researchers, and university students. It offers practical insights and actionable advice for achieving increased performance of companies and societal actions. The writing is tailored to make complex concepts accessible to both experienced researchers and readers who are new to the field. Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and network data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781032824994
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