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

Bali, Raghav; Sarkar, Dipanjan; Sharma, Tushar

Softcover

ISBN 10: 1787127524 ISBN 13: 9781787127524

Publisher: Packt Publishing, 2017

Synopsis

Tap into the realm of social media and unleash the power of analytics for data-driven insights using R

About This Book

• 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.

Who This Book Is 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

In Detail

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.

Style and approach

This book follows a step-by-step approach with detailed strategies for understanding, extracting, analyzing, visualizing, and modeling data from several major social network platforms such as Facebook, Twitter, Foursquare, Flickr, Github, and StackExchange. The chapters cover several real-world use cases and leverage data science, machine learning, network analysis, and graph theory concepts along with the R ecosystem, including popular packages such as ggplot2, caret,dplyr, topicmodels, tm, and so on.

About this title

About the Author

Raghav Bali

Raghav Bali has a master's degree (gold medalist) in information technology from International Institute of Information Technology, Bangalore. He is a data scientist at Intel, the world's largest silicon company, where he works on analytics, business intelligence, and application development to develop scalable machine learning-based solutions. He has worked as an analyst and developer in domains such as ERP, Finance, and BI with some of the top companies of the world. Raghav is a technology enthusiast who loves reading and playing around with new gadgets and technologies. He recently co-authored a book on machine learning titled R Machine Learning by Example, Packt Publishing. He is a shutterbug, capturing moments when he isn't busy solving problems.

Edition details

• Publisher: Packt Publishing
• Publication date: 2017
• ISBN 10: 1787127524
• ISBN 13: 9781787127524
• Binding: Paperback
• Language: English
• Number of pages: 394