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    Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R Vikram Garg, Sharan Kumar Ravindran - okładka ebooka

    Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R Vikram Garg, Sharan Kumar Ravindran - okładka ebooka

    Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R Vikram Garg, Sharan Kumar Ravindran - okładka audiobooka MP3

    Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R Vikram Garg, Sharan Kumar Ravindran - okładka audiobooks CD

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    248
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    Do przechowalni

    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.

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    O autorach ebooka

    Vikram Garg (@vikram_garg) is Senior Analytical Engineer at a big data organization. He is passionate about applying machine learning approaches in any given domain and creating technology to deepen human intelligence. Vikram graduated in computer science and electrical engineering from IIT Delhi. In his free time, he enjoys playing tennis and swimming.
    Sharan Kumar Ravindran is a data scientist with over 5 years of experience and is currently working with a leading e-commerce company in India. His primary interest lies in statistics and machine learning, and he has worked with multiple customers across 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, partnering with Anna University, to train their staff, research scholars, and volunteers in analytics. In addition to co-authoring Data Science Essentials with R by Packt Publishing, Sharan has also co-authored Mastering Social Media Mining with R by Packt Publishing. He maintains www.rsharankumar.com, a website with links to his social profiles and data blog.

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