Social Media Mining with R

Book Description

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 , or you are simply interested in social , this book will prove to be an essential asset. No previous experience with R or 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 with R
Chapter 4: Potentials and Pitfalls of Data
Chapter 5: Social Media Mining –
Chapter 6: Social Media Mining – Case Studies
Appendix: Conclusions and Next Steps

Book Details

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Download from EU(multi)PDF, EPUB, MOBI5.106/15/2014
Download from UpLoadedPDF, EPUB, MOBI5.109/16/2014
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