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R Machine Learning By Example

You're reading from   R Machine Learning By Example Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781784390846
Length 340 pages
Edition 1st Edition
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Author (1):
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Raghav Bali Raghav Bali
Author Profile Icon Raghav Bali
Raghav Bali
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with R and Machine Learning FREE CHAPTER 2. Let's Help Machines Learn 3. Predicting Customer Shopping Trends with Market Basket Analysis 4. Building a Product Recommendation System 5. Credit Risk Detection and Prediction – Descriptive Analytics 6. Credit Risk Detection and Prediction – Predictive Analytics 7. Social Media Analysis – Analyzing Twitter Data 8. Sentiment Analysis of Twitter Data Index

Chapter 7. Social Media Analysis – Analyzing Twitter Data

Connected is the word that describes life in the 21st century. Though various factors contribute to the term connected, there's one aspect which has played a pivotal role. It's called the Web. The Web, which has made distance an irrelevant metric and blurred socio-economic boundaries, is a world in itself and we all are a part of it. The Web or Internet in particular has been a central entity in this data-driven revolution. As we have seen in our previous chapters, for most modern day problems, it is the Web/Internet (henceforth used interchangeably) that acts as a source of data. Be it e-commerce platforms or financial domain, the Internet provides us with huge amounts of data every second. There's another ocean of data within this virtual world which touches our lives at a very personal level. Social networks, or social media, is a behemoth of information and the topic for this chapter.

In the previous...

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