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

Kumar Ravindran

Vikram Garg

$9.99 ~~$29.99~~

4.4 (9 Ratings)

eBook Sep 2015 248 pages 1st Edition

Kumar Ravindran

Vikram Garg

$9.99 ~~$29.99~~

4.4 (9 Ratings)

eBook Sep 2015 248 pages 1st Edition

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

View table of contents

Preview Book

Key benefits

Explore the social media APIs in R to capture data and tame it
Employ the machine learning capabilities of R to gain optimal business value
A hands-on guide with real-world examples to help you take advantage of the vast opportunities that come with social media data

Description

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.

Who is this book for?

If you have basic knowledge of R in terms of its libraries and are aware of different machine learning techniques, this book is for you. Those with experience in data analysis who are interested in mining social media data will find this book useful.

What you will learn

• Access APIs of popular social media sites and extract data
• Perform sentiment analysis and identify trending topics
• Measure CTR performance for social media campaigns
• Implement exploratory data analysis and correlation analysis
• Build a logistic regression model to detect spam messages
• Construct clusters of pictures using the K-means algorithm and identify popular personalities and destinations
• Develop recommendation systems using Collaborative Filtering and the Apriori algorithm

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

$54.99

$38.99

$38.99

Total $ 132.97

Filter reviews by

All

Amazon verified reviews

Shanmuga Bharathi Sep 25, 2015

The use cases that are provided for R programming are very useful and gives you an insight on how it can be applied to extract information from data that is available for free in the internet!If you are a beginner at data mining and would like to know more about the APIs that are available to tap information from available data, develop recommendation engines based on the trend and sentiment of online user base, this book is an amazing guide!Would strongly recommend this to my friends!

Amazon Verified review

Amir Aghamousa Aug 30, 2016

The Mastering Social Media Mining with R is a great book in social media analysis. The book starts with the basic of social media mining and explains variety of concepts and tools which are necessary to know. It offers a comprehensive explanations of doing data mining from Twitter, Facebook, Instagram and Github in four chapters. The explanations are step by step from registration and extracting data to presenting final inferences with introducing the related R packages. Among these chapters one can learn many essential techniques and concepts like sentiment analysis, measuring Click-Through Rate (CTR) performance, network analysis, building recommendation system, exploratory data analysis, correlation analysis, ... . The last chapter of this book shows how to access the other social media websites like Foursquare, LinkedIn, Blogger, Wikipedia, ... through APIs using related R packages. This book is a collection of essential methodologies which one needs to know for social media analysis but the basic knowledge of machine learning algorithm and R programing is necessary for readers.

derick jose Oct 19, 2015

A book by practitioners for practitioners. Hands on tips which provide a step by step approach to mining social data and inferring sentiments, assessing new product launches and benchmarking competitive products. The language is simple and accessible. If you are planning to do social listening this is a great starting point

TRUNGNHAN PHAN Dec 01, 2015

This is my favorite book on social media covering almost everything I need: getting authentication from the social website (Open Authorization), data preprocessing, data modeling, and sentiment analysis with examples from the most popular social media sites such as Twitter, Facebook, Instagram and GitHub.The best part is that it’s a concise and practical book guiding you step by step packed with code and datasets for almost every chapter in the book except chapter one which is just an introduction.

Konstantin Danilkov Dec 01, 2015

This book, like all other books from the same author, helps a lot to understand the problem for the beginners. The same time covers a lot of interesting R techniques.

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

What do you get with eBook?