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Social Data Analytics

Social Data Analytics
  • Author : Krish Krishnan
  • Publsiher : Newnes
  • Release : 10 November 2014
  • ISBN : 0123977800
  • Pages : 158 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKSocial Data Analytics

Summary:
Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share social data with ease. You'll learn everything you need to know to monitor social media and get an overview of the leading vendors in a crowded space of BI applications. By the end of this book, you will be well prepared for your organization’s next social data analytics project. Provides foundational understanding of new and emerging technologies—social data, collaboration, big data, advanced analytics Includes case studies and practical examples of success and failures Will prepare you to lead projects and advance initiatives that will benefit you and your organization


Social Data Analytics

Social Data Analytics
  • Author : Krish Krishnan,Shawn P. Rogers
  • Publisher : Newnes
  • Release : 10 November 2014
GET THIS BOOKSocial Data Analytics

Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the

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Challenges and Applications of Data Analytics in Social Perspectives

Challenges and Applications of Data Analytics in Social Perspectives
  • Author : Sathiyamoorthi, V.,Elci, Atilla
  • Publisher : IGI Global
  • Release : 04 December 2020
GET THIS BOOKChallenges and Applications of Data Analytics in Social Perspectives

With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics

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Social Network Data Analytics

Social Network Data Analytics
  • Author : Charu C. Aggarwal
  • Publisher : Springer Science & Business Media
  • Release : 18 March 2011
GET THIS BOOKSocial Network Data Analytics

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents

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Social Media Data Mining and Analytics

Social Media Data Mining and Analytics
  • Author : Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
  • Publisher : John Wiley & Sons
  • Release : 18 September 2018
GET THIS BOOKSocial Media Data Mining and Analytics

Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining

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Big Data Analytics

Big Data Analytics
  • Author : Mrutyunjaya Panda,Ajith Abraham,Aboul Ella Hassanien
  • Publisher : CRC Press
  • Release : 12 December 2018
GET THIS BOOKBig Data Analytics

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book

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Big Data and Social Media Analytics

Big Data and Social Media Analytics
  • Author : Anonim
  • Publisher : Springer Nature
  • Release : 27 October 2021
GET THIS BOOKBig Data and Social Media Analytics

This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and

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Social Media Analytics Strategy

Social Media Analytics Strategy
  • Author : Alex Gonçalves
  • Publisher : Apress
  • Release : 12 November 2017
GET THIS BOOKSocial Media Analytics Strategy

This book shows you how to use social media analytics to optimize your business performance. The tools discussed will prepare you to create and implement an effective digital marketing strategy. From understanding the data and its sources to detailed metrics, dashboards, and reports, this book is a robust tool for anyone seeking a tangible return on investment from social media and digital marketing. Social Media Analytics Strategy speaks to marketers who do not have a technical background and creates a

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Big Data Analysis Using Machine Learning for Social Scientists and Criminologists

Big Data Analysis Using Machine Learning for Social Scientists and Criminologists
  • Author : Juyoung Song
  • Publisher : Cambridge Scholars Publishing
  • Release : 12 July 2019
GET THIS BOOKBig Data Analysis Using Machine Learning for Social Scientists and Criminologists

This book provides a detailed description of the entire study process concerning gathering and analysing big data and making observations to develop a crime-prediction model that utilizes its findings. It offers an in-depth discussion of several processes, including text mining, which extracts useful information from online documents; opinion mining, which analyses the emotions contained in documents; machine learning for crime prediction; and visualization analysis. To accurately predict crimes using machine learning, it is necessary to procure high-quality training data. Machine

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Learning Social Media Analytics with R

Learning Social Media Analytics with R
  • Author : Raghav Bali,Dipanjan Sarkar,Tushar Sharma
  • Publisher : Packt Publishing Ltd
  • Release : 26 May 2017
GET THIS BOOKLearning 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 guide written to help leverage the power of the R eco-system to extract, process, analyze, visualize and model social media data Learn about data access, retrieval, cleaning, and curation methods for data originating from various social media platforms. Visualize and analyze data from social media platforms to understand and model complex relationships using various concepts and techniques

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Big Data Analytics in Cognitive Social Media and Literary Texts

Big Data Analytics in Cognitive Social Media and Literary Texts
  • Author : Sanjiv Sharma,Valiur Rahaman,G. R. Sinha
  • Publisher : Springer Nature
  • Release : 11 November 2021
GET THIS BOOKBig Data Analytics in Cognitive Social Media and Literary Texts

This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the

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Social Media Data Extraction and Content Analysis

Social Media Data Extraction and Content Analysis
  • Author : Hai-Jew, Shalin
  • Publisher : IGI Global
  • Release : 01 August 2016
GET THIS BOOKSocial Media Data Extraction and Content Analysis

In today’s society, the utilization of social media platforms has become an abundant forum for individuals to post, share, tag, and, in some cases, overshare information about their daily lives. As significant amounts of data flood these venues, it has become necessary to find ways to collect and evaluate this information. Social Media Data Extraction and Content Analysis explores various social networking platforms and the technologies being utilized to gather and analyze information being posted to these venues. Highlighting

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Data Science and Social Research

Data Science and Social Research
  • Author : N. Carlo Lauro,Enrica Amaturo,Maria Gabriella Grassia,Biagio Aragona,Marina Marino
  • Publisher : Springer
  • Release : 17 November 2017
GET THIS BOOKData Science and Social Research

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the

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