Ebook: Social media mining with R: deploy cutting-edge sentiment analysis techniques to real-world social media data using R

A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.;Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Going Viral; Social media mining using sentiment analysis; The state of communication; What is Big Data?; Human sensors and honest signals; Quantitative approaches; Summary; Chapter 2: Getting Started with R; Why R?; Quick start; The basics -- assignment and arithmetic; Functions, arguments, and help; Vectors, sequences, and combining vectors; A quick example -- creating data frames and importing files; Visualization in R; Style and workflow; Additional resources; Summary