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Mastering Social Media Mining with R

Mastering Social Media Mining with R - Free Ebook Download

Book Detail

Author/Editor(s): Sharan Kumar Ravindran, Vikram Garg
Publication Date: September 23, 2015
ISBN-10: 1784396311
ISBN-13: 978-1784396312
Language: English
Edition: n/a
Publisher: Packt Publishing
Size: 5.16 MB
Format: pdf

Book Description

Extract valuable data from your social media sites and make better business decisions using R

With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data.

This book will teach you how powerful business cases are solved by applying machine learning techniques on social media data. You will learn about important and recent developments in the field of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using APIs of various social media sites such as Twitter, Facebook, Instagram, GitHub, Foursquare, LinkedIn, Blogger, and other networks. We will provide you with detailed explanations on the implementation of various use cases using R programming.

With this handy guide, you will be ready to embark on your journey as an independent social media analyst.

This easy-to-follow guide is packed with hands-on, step-by-step examples that will enable you to convert your real-world social media data into useful, practical information.

About the Author

Sharan Kumar Ravindran is a data scientist with over five years of experience. He is currently working for a leading e-commerce company in India. His primary interests lie in statistics and machine learning, and he has worked with customers from Europe and the U.S. in the e-commerce and IoT domains. He holds an MBA degree with specialization in marketing and business analysis. He conducts workshops for Anna University to train their staff, research scholars, and volunteers in analytics. In addition to coauthoring Social Media Mining with R, he has also reviewed R Data Visualization Cookbook. He maintains a website, www.rsharankumar.com, with links to his social profiles and blog.

Vikram Garg ( @vikram_garg) is a senior analytical engineer at a Big Data organization. He is passionate about applying machine learning approaches to any given domain and creating technology to amplify human intelligence. He completed his graduation in computer science and electrical engineering from IIT, Delhi. When he is not solving hard problems, he can be found playing tennis or in a swimming pool.
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