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Edité par Taylor and Francis Ltd, GB, 2025
ISBN 10 : 1032824964 ISBN 13 : 9781032824963
Langue: anglais
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Ajouter au panierPaperback. Etat : New. 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.
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Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032824964 ISBN 13 : 9781032824963
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. 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.
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Edité par Taylor and Francis Ltd, GB, 2025
ISBN 10 : 1032824964 ISBN 13 : 9781032824963
Langue: anglais
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Ajouter au panierPaperback. Etat : New. 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.
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Edité par LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659932248 ISBN 13 : 9783659932243
Langue: anglais
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Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 6200080410 ISBN 13 : 9786200080417
Langue: anglais
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Edité par LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659932248 ISBN 13 : 9783659932243
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Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032824964 ISBN 13 : 9781032824963
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par LAP LAMBERT Academic Publishing, 2017
ISBN 10 : 3659852031 ISBN 13 : 9783659852039
Langue: anglais
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Ajouter au panierPaperback. Etat : Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.