BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. Book Name: Mastering Social Media Mining with R Author: Sharan Kumar Ravindran, Vikram Garg ISBN-10: 1784396311 Year: 2015 Pages: 248 Language: English File size: 6.01 MB File format: PDF. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. Did fake Twitter accounts help sway a presidential election? 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. Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. Mining the Social Web (2nd Edition) Summary. We will provide you with detailed explanations on the implementation of various use cases using R programming. Author profile (with book reviews/ratings) at Goodreads.com Mining social media : finding stories in Internet data. This book is about applying data mining techniques to social media using Python.The three highlighted keywords in the previous sentence help us define the intended audience of this book… In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Social Media Mining integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining. Drawing on action research with public sector organisations, interviews with commercial social insights companies and their clients, focus groups with social media users and other research, Kennedy provides a fascinating and detailed account of living with social media data mining inside the organisations that make up the fabric of everyday life. Lecture slides are also available online. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks. The End of Marketing: Humanizing Your Brand in the Age of Social Media and AI by Carlos Gil RIP, traditional marketing. Those with experience in data analysis who are interested in mining social media data will find this book useful. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. : Runaway International Bestseller, Mastering Social Media Mining with Python, Social Media Mining and Social Network Analysis Emerging Research, Community Detection and Mining in Social Media, Createspace Independent Publishing Platform, Encyclopedia of Social Network Analysis and Mining, Social Network Mining Analysis and Research Trends Techniques and Applications. Please see Cambridge’s page for the book for more information or if you are interested in obtaining an examination copy. G.F. Khan, Seven Layers of Social Media Analytics: Mining Business Insights from Social Media Text, Actions, Networks, Hyperlinks, Apps, Search Engine, and Location Data (2015) Google Scholar 16. Social media mining is the process of representing, analyzing, and extracting actionable patterns and trends from raw social media data. You found the web-version of the book Mining Social Media!Here you can learn how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language. 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. Social Media Mining in R provides a light theoretical background, comprehensive instruction, and state-of-the-art techniques, and by reading this book, you will be well equipped to embark on your own analyses of social media data. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis. 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