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.<br>Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner
Social Media Mining with R
β Scribed by Richard Heimann, Nathan Danneman
- Publisher
- Packt Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 122
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Subjects
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<b>Deploy cuttingedge sentiment analysis techniques to realworld social media data using R</b><h2>About This Book</h2><ul> <li>Learn how to face the challenges of analyzing social media data</li> <li>Get hands-on experience with the most common, up-to-date sentiment analysis tools and apply them t
<b>Deploy cuttingedge sentiment analysis techniques to realworld social media data using R</b><h2>About This Book</h2><ul> <li>Learn how to face the challenges of analyzing social media data</li> <li>Get hands-on experience with the most common, up-to-date sentiment analysis tools and apply them t
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