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

Bali, Raghav; Sarkar, Dipanjan; Sharma, Tushar

Softcover

ISBN 10: 1787127524 ISBN 13: 9781787127524

Verlag: Packt Publishing, 2017

Inhaltsangabe

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

Key Features

• 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.

Book 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.

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

Über diesen Titel

Über die Autorin bzw. den Autor

Raghav Bali is a Staff Data Scientist at Delivery Hero, a leading food delivery service headquartered in Berlin, Germany. With 12+ years of expertise, he specializes in research and development of enterprise-level solutions leveraging Machine Learning, Deep Learning, Natural Language Processing, and Recommendation Engines for practical business applications.Besides his professional endeavors, Raghav is an esteemed mentor and an accomplished public speaker. He has contributed to multiple peer-reviewed papers and authored multiple well received books. Additionally, he holds co-inventor credits on multiple patents in healthcare, machine learning, deep learning, and natural language processing.

Details zur Ausgabe

• Verlag: Packt Publishing
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 1787127524
• ISBN 13: 9781787127524
• Einband: Taschenbuch
• Anzahl der Seiten: 394
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Deutschland