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R Machine Learning By Example

You're reading from  R Machine Learning By Example

Product type Book
Published in Mar 2016
Publisher
ISBN-13 9781784390846
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Raghav Bali Raghav Bali

Table of Contents (15) Chapters

R Machine Learning By Example
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Getting Started with R and Machine Learning 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

Social networks (Twitter)


We all use social networks day in and day out. There are numerous social networks catering to all sorts of ideologies and philosophies, but Facebook and Twitter (barring a couple more) have become synonymous with the term social network itself. These two social networks enjoy popularity not only because of their uniqueness and the quality of service but because of the way they enable us to interact in a very intuitive way. As we saw with recommendation engines used in e-commerce websites (see Chapter 4, Building a Product Recommendation System), social networks have existed long before Facebook, Twitter, or even the Internet.

Social networks have interested scientists and mathematicians alike. It is an interdisciplinary topic which spans but is not limited to sociology, psychology, biology, economics, communication studies, and information science. Various theories have been developed to analyze social networks and their impact on human lives in the form of factors...

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