Book Name: Mastering Social Media Mining with R
Author: Sharan Kumar Ravindran, Vikram Garg
Publisher: Packt Publishing
ISBN-10: 1784396311
Year: 2015
Pages: 248
Language: English
File size: 6.01 MB
File format: PDF
With the increase in the amount of consumers online, the content created has improved substantially, bringing from the should obtain insights to the untapped gold mine that’s social media information. For computational data, R has an edge over other languages in supplying readily-available data extraction and conversion packages, which makes it simpler to execute your ETL tasks. In addition to this, its information visualization packages help users gain a better knowledge of the underlying data distributions while its selection of”standard” statistical packages simplify evaluation of their information.
This book will teach you how successful small business cases are solved by employing machine learning methods on interpersonal networking data. You are going to learn about recent and important developments within the discipline of social networking, together with a few advanced topics like Open Authorization (OAuth). We’ll offer you in depth explanations on the execution of different use cases utilizing R programming.
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