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Mastering Social Media Mining with Python: Unearth deeper insight from your social media data with advanced Python techniques for acquisition and analysis
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Fine.
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Condition: As New. Unread book in perfect condition.
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Social Media Mining With R : Deploy Cutting-edge Sentiment Analysis Techniques to Real-world Social Media Data Using R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Soft cover. Condition: As New. 1st Edition. BRAND NEW softcover, minor shelf/handling wear. Book.
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Social Media Mining With R : Deploy Cutting-edge Sentiment Analysis Techniques to Real-world Social Media Data Using R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Social Network Analysis and Text Mining for Big Data
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Social Network Analysis and Text Mining for Big Data
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032824964 ISBN 13: 9781032824963
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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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Mastering Social Media Mining with Python: Unearth deeper insight from your social media data with advanced Python techniques for acquisition and analysis
Language: English
Published by Packt Publishing Limited, United Kingdom, Birmingham, 2016
ISBN 10: 1783552018 ISBN 13: 9781783552016
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Acquire and analyze data from all corners of the social web with Python About This Book Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data Who This Book Is For This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data. What You Will Learn Interact with a social media platform via their public API with Python Store social data in a convenient format for data analysis Slice and dice social data using Python tools for data science Apply text analytics techniques to understand what people are talking about on social media Apply advanced statistical and analytical techniques to produce useful insights from data Build beautiful visualizations with web technologies to explore data and present data products In Detail Your social media is filled with a wealth of hidden data unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data. Style and approach This practical, hands-on guide will help you learn everything you need to perform data mining for social media. Throughout the book, we take an example-oriented approach to use Python for data analysis and provide useful tips and tricks that you can use in day-to-day tasks. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Social Network Analysis and Text Mining for Big Data
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032824964 ISBN 13: 9781032824963
Paperback. Condition: 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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Social Network Analysis and Text Mining for Big Data : The Power of Words and Networks
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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paperback. Condition: New.
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Social Network Analysis and Text Mining for Big Data : The Power of Words and Networks
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Social Network Analysis and Text Mining for Big Data
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Social Network Analysis and Text Mining for Big Data: The Power of Words and Networks
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032824964 ISBN 13: 9781032824963
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Graph-Based Social Media Analysis (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Book 42 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367575116 ISBN 13: 9780367575113
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Hybrid Data Mining Approach For Emotion Analysis: On Social Network Data
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200080410 ISBN 13: 9786200080417
Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
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Graph-Based Social Media Analysis (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Book 42 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367575116 ISBN 13: 9780367575113
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2020. 1st Edition. paperback. . . . . .
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Advanced Data Mining Tools and Methods for Social Computing (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good.
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Paperback. Condition: Brand New. 170 pages. 9.68x6.87x9.69 inches. In Stock.
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Graph-Based Social Media Analysis (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Book 42 of 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367575116 ISBN 13: 9780367575113
Condition: New. 2020. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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Identifying Terrorist Affiliations through Social Network Analysis: Using Data Mining Techniques
Language: English
Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659932248 ISBN 13: 9783659932243
Paperback. Condition: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.
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Data Mining and Social Network Analysis on Email Data
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659852031 ISBN 13: 9783659852039
Paperback. Condition: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.
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Text Mining for Qualitative Data Analysis in the Social Sciences (Paperback)
Language: English
Published by Springer Fachmedien Wiesbaden, Weisbaden, 2016
ISBN 10: 3658153083 ISBN 13: 9783658153083
First Edition
Paperback. Condition: new. Paperback. Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of democratic demarcation in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing. Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
