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Learning Social Media Analytics with R

Tap into the realm of social media and unleash the power of analytics for data-driven insights using R About This Book * A practical;

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Python for R Users

program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both;

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Creating Value With Social Media Analytics

with social media data.In Creating Value with Social Media Analytics, we draw on developments in social media analytics theories and tools to;

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Social Media Analytics Strategy

-level executives. Social media analytics are explored and explained using real-world examples and interviews with experienced professionals and;

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R for Business Analytics

famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code;

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Business Analytics

coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth;

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Adaptive Resonance Theory in Social Media Data Clustering

in big social media data clustering Step-by-step practices of developing unsupervised machine learning algorithms for real-world applications;

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Advanced Analytics with R and Tableau

analytics and visualization with the power of R using this step-by-step guide * Wondering how R can be used with Tableau? This book is your one;

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Challenges and Applications of Data Analytics in Social Perspectives

insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep;

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Big Data Analytics in Cognitive Social Media and Literary Texts

-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic;

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Social Computing and Social Media: Applications and Analytics

in social media, costumer behavior and social media, social issues in social media, social media for communication, learning and aging, opinion;

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Statistical Data Analytics

using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological;

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Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics

research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory;

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Big Data Analytics

sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems;

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Innovative Technologies and Learning

and Education; Pedagogies to Innovative Technologies; Personalized and Adaptive Learning; Social Media and Online Learning; Technologies;

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Data Analytics for the Social Sciences

applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter;

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Data Analytics for the Social Sciences

applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter;

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Mastering Social Media Mining with R

of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using;

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Soft Computing in Data Science

; computational and artificial intelligence; social network and media analytics.;

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Advanced R Statistical Programming and Data Models

, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. * The first;

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Social Media Analytics

. . . if you're applying the right systems and know how to use them. With Social Media Analytics, you'll learn how to get supremely valuable;

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R for Cloud Computing

wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can;

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Social Media Data Mining and Analytics

wrote this book to provide businesses with the competitive advantage they need to harness the rich data that is available from social media;

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Practical Big Data Analytics

, MongoDB, KDB+ and R - Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions - Learn how to;

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Behavioral Analytics in Social and Ubiquitous Environments

International Workshop on Modeling Social Media, MSM 2015, held in Florence, Italy, May 2015, in conjunction with the 24th International World Wide Web;

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An Introduction to Business Analytics

exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning.;

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