Learning Social Media Analytics with R: Transform data from social media platforms into actionable business insights

Karthik Ganapathy

Sarkar

Sharma

Raghav Bali

$54.99

5 (4 Ratings)

Paperback May 2017 394 pages 1st Edition

Karthik Ganapathy

Sarkar

Sharma

Raghav Bali

$54.99

5 (4 Ratings)

Paperback May 2017 394 pages 1st Edition

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Key benefits

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 such as Sentiment Analysis, Topic Modeling, Text Summarization, Recommendation Systems, Social Network Analysis, Classification, and Clustering.

Description

The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how analytics can be leveraged to derive insights from it. This data can be analyzed to gain valuable insights into the behavior and engagement of users, organizations, businesses, and brands. It will help readers frame business problems and solve them using social data. The book will also cover several practical real-world use cases on social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text summarization, recommendation systems, social network analysis, classification, and clustering. This will enable readers to learn different hands-on approaches to obtain data from diverse social media sources such as Twitter and Facebook. It will also show readers how to establish detailed workflows to process, visualize, and analyze data to transform social data into actionable insights.

Who is this book for?

It is targeted at IT professionals, Data Scientists, Analysts, Developers, Machine Learning Enthusiasts, social media marketers and anyone with a keen interest in data, analytics, and generating insights from social data. Some background experience in R would be helpful, but not necessary, since this book is written keeping in mind, that readers can have varying levels of expertise.

What you will learn

Learn how to tap into data from diverse social media platforms using the R ecosystem
Use social media data to formulate and solve real-world problems
Analyze user social networks and communities using concepts from graph theory and network analysis
Learn to detect opinion and sentiment, extract themes, topics, and trends from unstructured noisy text data from diverse social media channels
Understand the art of representing actionable insights with effective visualizations
Analyze data from major social media channels such as Twitter, Facebook, Flickr, Foursquare, Github, StackExchange, and so on
Learn to leverage popular R packages such as ggplot2, topicmodels, caret, e1071, tm, wordcloud, twittR, Rfacebook, dplyr, reshape2, and many more

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Frequently bought together

Mastering Machine Learning with R, Second Edition

$54.99

Machine Learning with R Cookbook, Second Edition

$54.99

Total $ 164.97

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USA:

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UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

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Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

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Australia:

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Rest of the World:

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Brunei Darussalam
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Russian Federation
Syrian Arab Republic
Ukraine
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Amazon Customer Jun 11, 2017

One of the few books covering detailed use-cases and analytics on over 5-6 major social media platforms. I have read several books and blogs on social media mining but the current offerings had been lacking based on either content or problems showcased. This one definitely has a lot of examples and code which helps you get started with hands-on analysis yourself. Only con would be I wish there was an equivalent of this book in Python

Amazon Verified review

Swati Jul 28, 2017

Well structured content with variety of examples and visualizations. Still going through the chapters. Best part: analysis for social networks is not available in other books/blogs eg stack exchange n foursquare

Dhiraj Baurisetty Jul 19, 2017

Really good book with a very deep insight into R.... Love to recommend it

This is a good read which covers mining info from multiple social media websites and apps. Really liked the coverage from normal analysis and visualizations to advanced methods like text mining and recommendations. Overall a great book if you are into R and want to analyze data from social websites.

Learning Social Media Analytics with R: Transform data from social media platforms into actionable business insights

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