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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 (15) Chapters Close

R Machine Learning By Example
Credits
About the Authors
About the Reviewer
www.PacktPub.com
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 8. Sentiment Analysis of Twitter Data

 

"He who molds the public sentiment... makes statutes and decisions possible or impossible to make."

 
 --Abraham Lincoln.

What people think matters not only to politicians and celebrities but also to most of us social beings. This need to know opinions about ourselves has affected people for a long time and is aptly summarized by the preceding famous quote. The opinion bug not only affects our own outlook, it affects the way we use products and services as well. As discussed while learning about market basket analysis and recommender engines (see Chapter 3, Predicting Customer Shopping Trends with Market Basket Analysis and Chapter 4, Building a Product Recommendation System respectively), our behavior can be approximated or predicted by observing the behavior of a group of people with similar characteristics such as price sensitivity, color preferences, brand loyalty, and so on. We also discussed in the earlier chapters that, for a long time,...

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