Social Media Mining with R: Deploy cutting-edge sentiment analysis techniques to real-world social media data using R

✍ 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.

✦ Synopsis

The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. However, analyzing this ever-growing pile of data is quite tricky and, if done erroneously, could lead to wrong inferences. By using this essential guide, you will gain hands-on experience with generating insights from social media data. This book provides detailed instructions on how to obtain, process, and analyze a variety of socially-generated data while providing a theoretical background to help you accurately interpret your findings. You will be shown R code and examples of data that can be used as a springboard as you get the chance to undertake your own analyses of business, social, or political data.

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