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.
Table of Contents
Chapter 1: Going Viral
Chapter 2: Getting Started with R
Chapter 3: Mining Twitter with R
Chapter 4: Potentials and Pitfalls of Social Media Data
Chapter 5: Social Media Mining – Fundamentals
Chapter 6: Social Media Mining – Case Studies
Appendix: Conclusions and Next Steps