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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

Understanding Sentiment Analysis


The fact that Internet-based companies and their CEOs feature as some of the most profitable entities in the global economy says a lot about how the world is being driven by technology and shaped by the Internet. Unlike any other medium, the Internet has become ubiquitous and has penetrated every aspect of our lives. It is no surprise that we are using and relying on the Internet and Internet-based solutions for advice and recommendations, apart from using it for many other purposes.

As we saw in the previous chapters, the relationship between the Internet and domains such as e-commerce and financial institutions goes way too deep. But our use of and trust in the online world doesn't stop there. Be it about booking a table at the new restaurant in your neighborhood or deciding which movie to see tonight, we take help from the Internet to know what opinions others have, or what others have to share, before we make the final call. As we will see later, such...

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